Tag Archive for: AI

November 2022 Digital Health Roundup

November is full of promise using science to help in the fight against cancer. Scientists have made genetically engineered bacteria robots to release cancer fighting chemicals using magnetic force. Engineers have developed artificial intelligence to help predict the recurrence of a deadly cancer, melanoma. Pancreatic cancer is another deadly cancer that is difficult to treat. Scientists have developed a radioactive implant to help doctors treat pancreatic cancer.

Scientists Use Magnets to Deliver Cancer-Killing ‘Micro-Robots’ Into the Body

Scientists have conceived of a new way to deliver cancer-killing compounds, called enterotoxins, to tumors using bionic bacteria that are steered by a magnetic field, according to a report by Invers published last week reports InterestingEngineering.com . The bacteria hung down a specific tumor and releases naturally produced anti-cancer chemicals to kill the cancer. The scientists use aquatic bacteria because of its magnetostatic quality, it has tiny iron crystals inside that can be guided by magnetic force.

They made genetically engineered bacteria robots whose nanoparticles make them release the chemicals that fight cancer on cue. It is a slimy feces shaped robot that consists of polyvinyl alcohol, borax, and particles of neodymium magnets to move the slime around. It uses biohybrid bacteria. Some cancers can’t be operated on due to the tumor’s location; this treatment offers hope for those types of tumors. These tiny robots have been tested on mice and shown to have three times more precision in the delivery of the biohybrid bacteria to kill the cancer. Find more information here.

AI Could Help Cancer Patients Avoid a Deadly Recurrence

AI could help doctors identify which skin cancer patients are at high-risk of a melanoma recurrence before their initial cancer is even treated- giving them a head start to recommend more aggressive treatments that can prevent a recurrence reports Freethink.com . Melanoma is the deadliest type of skin cancer, and recurrence is often caught in late stages making it harder to treat. In the early stages of skin cancer, it is often just removed and not treated with drugs. The drugs used to treat melanoma are immune checkpoint inhibitors and often can have serious side effects.

If doctors know ahead of time that patients were at risk of recurrence, they could treat the cancer more aggressively with those drugs. A team from Massachusetts General Hospital is training and validating algorithms to predict recurrence of melanoma within five years for patients. They used electronic health records and data from over 1,700 early-stage melanomas to train the AI. They found the two best predictors of recurrence are tumor thickness and the rate of cancer cell division. The AI model was found to have a sensitivity of 76% so the team is trying to improve the algorithm to be more specific. The AI shows great promise for helping doctors fight skin cancers. Find more information here.

A Radioactive Tumor Implant is a Major Breakthrough for Treating Pancreatic Cancer

In what can be called a quantum leap in medical science, the most successful treatment for pancreatic cancer ever recorded in mouse models is here. Biomedical engineers at Duke University have developed an approach that completely eliminates tumors in 80 percent of mice across various model types, as opposed to most trials that solely halt the growth of such tumors reports InterestingEngineering.com .

Pancreatic cancer is the third leading cause of cancer related deaths. It is currently hard to treat due to its location and the effects on the surrounding tissue. Scientists have developed an implant that has radioactive iodine-131 that is surrounded by a gel like depot. They can put the implant into the tumor to emit radiation that penetrates the tumor without reaching surrounding tissue. In mice models, scientists use the implant in combination with giving a chemotherapy drug- Paclitaxel. These two together have given good results and are moving into other phases of clinical trials. Scientists believe that the constant radiation to the pancreas makes the drug interact with the cancer in a way that has a stronger effect on the tumor. Find more information here.

#patientchat Highlights – Mental Health Check-In: The Emotional Impact of Chronic Illness

Last week we hosted a “Mental Health Check-In: The Emotional Impact of Chronic Illness” Empowered #patientchat on Twitter. Take a look at the top tweets and full transcript from the chat.

Top Tweets

How would you describe the state of your mental/emotional health for the month of September?

The Emotional Impact of Chronic Illness #patientchat Highlights


How are you currently prioritizing your mental and emotional health? Any self-care tips?

The Emotional Impact of Chronic Illness #patientchat Highlights

The Emotional Impact of Chronic Illness #patientchat Highlights

 


Full Transcript

August 2022 Digital Health Roundup

As technology improves, it has a direct effect on improving cancer detection and patient outcomes. New artificial intelligence (AI) is combing several types of available health and research data to predict patients’ cancer outcomes. Improvements in the abilities of the CT scan increase precision of treatments, increasing quality of life for patients. Grady Memorial Hospital in Atlanta, Georgia is using AI to improve colon cancer detection for their community.

New AI Technology Integrates Multiple Data Types to Predict Cancer Outcomes

A new study from researchers from the Mahmood Lab at Brigham and Women’s Hospital reveals a proof-of-concept model that uses artificial intelligence (AI) to combine multiple types of data from different sources to predict patient outcomes for 14 different types of cancer reports MedicalXpress.com . The researchers used publicly available information from The Cancer Genome Atlas about the many genomic types of cancer. In considering how to treat cancer patients’, clinicians get information from many sources. They use patient health information, patient family history, histology, as well as the genomic sources. This is a large amount of information to consider and is time consuming to gather from all available resources to make accurate predictions of the patient outcome. Researchers have developed an algorithm that learns prognostic information from many sources. This new AI uses the algorithm to help predict the cancer patient’s outcome. Included in this algorithm is information from the doctors about the patient’s immune response, patient radiology, and the patient’s electronic medical record. This AI is another tool to help the physician and patient treat the cancer and have a better outcome. Find more information here.

New CT Technology to Diminish the Overall Burden of Cancer Treatment

The flat table of a CT could only move right to left, back to front, and up and down. The newest technology allows the table to roll, and Dover explained that it is similar to a “log roll,” and it also can move like and “X” reports TrussvilleTribune.com . Radiation used for cancer treatment is a valuable tool, but it can also be very damaging to the surrounding organs and tissues. Clinicians must align the patient in exactly the right position to give the dose of radiation needed, this new CT allows for millimeter precision. The new availability of table positions allows for a higher dose with fewer treatments and greater accuracy. This new CT also is better for patient convenience by decreasing patient travel time with the need for fewer treatments. More of the radiation dose can go directly to the tumor which allows for better chances of a successful treatment. With less radiation damaging other areas of the body, there are less long-term side effects. This gives patients better outcomes short-term and long–term. Another advance with this CT scan is that it can monitor patient breathing cycles. It can show changes in the body position throughout the breathing cycle in real time to help the clinician make the needed adjustments. Find more information here.

Grady Memorial Hospital to Use AI Technology to Improve Colon Cancer Screening

Grady Memorial Hospital is using a new technology platform donated by Medtronic to improve colon cancer screening in medically underserved communities reports healthleadersmedia.com . The GI Genius modules uses an artificial intelligence algorithm to help doctors find colorectal polyps in real time. There is a higher risk for colon cancer in Black adults. Once diagnosed, Black adults have been having worse outcomes. Research shows that part of the problem is a knowledge barrier; patients are not aware that the screening age for colon cancer has changed to 45 years of age. At Grady Memorial, 30% of their patients are uninsured so there is a cost barrier to cancer diagnosis and treatment. This technology is an AI-assisted colonoscopy, combining the AI with the physicians’ own eyes and experience. The GI Genius has been shown to improve cancer detection by 50%. Earlier colon cancer detection equals better outcomes for patients. Find more information here.

July 2022 Digital Health Roundup

This July, healthcare providers partner up with technology to give cancer patients a better outcome. Gamma Knife technology, a knife-free approach, helps to treat brain and neck cancers. Radiologists use artificial intelligence (AI) to help them catch more cancers on mammograms, leading to increased survivability. The United Kingdom is using technology, in the form of drones, to deliver chemotherapy to cancer patients in isolated areas.

Gamma Knife Technology Treats Brain Tumors Without Surgery

Despite the name, there is no cutting or incisions involved in the Gamma Knife method; instead, radiation and computer-guided planning are used to treat abnormalities in the brain reports TheBlade.com. This technique treats metastatic cancer, malignancies, benign tumors, lesions, and malformations in the head and neck area. The use of gamma rays to the affected area is precise and helps to keep the surrounding tissue healthy. The Gamma Knife is a way to get surgery without using a knife. There is no pain, no anesthesia, the only requirement is that the patient must lay still. This technique is a good choice for people who are unable to undergo surgery, underwent prior brain surgery, or have tumors located in hard-to-reach places. Cancer patients that go through this procedure, have follow-up MRIs to check the status of the area treated. Find more information here.

Doctors Using AI Catch Breast Cancer More Often Than Either Does Alone

Radiologists assisted by an AI screen for breast cancer more successfully than they do when they work alone, according to new research. That same AI produces more accurate results in the hands of radiologists than it does when operating solo reports MITtechnologyreview.com. This artificial intelligence (AI) is called Vara and has been fed data from over 360,000 mammograms with the notes and assessments from the radiologists. It is being used in Germany and Mexico. This AI saves lives by analyzing mammograms and categorizes them as normal or abnormal, the not normal ones are flagged for the radiologist to review. There is a shortage of specialists, and this can help the radiologists free up more time to spend with patients. Radiologists alone can miss catching some of the cancer on the mammograms due to working long hours and being tired. Radiologists review everything the AI interprets and together cancer patients are getting better diagnosis and treatment. Find more information here.

UK Tries Cancer Meds by Drone

The UK’s National Health Service (NHS) has launched the world’s first trial to deliver chemotherapy via drone – a move that could make receiving cancer treatment cheaper, more convenient and less taxing on patients and the environment reports Freethink.com. Some patients must travel several hours using different modes of transportation to get their chemotherapy. The drone can deliver the medication in a matter of minutes to a hospital or doctor office that is closer to the patient. This delivery method cuts transportation costs to the patient and lowers carbon emissions, impacting the environment. The UK is creating drone corridors to hospitals. Recently, drones have been used to deliver medical supplies in war zones, coronavirus tests to labs, and delivered transplant organs. Find more information here.

#patientchat Highlights – What Role Does Music Play in Your Mental Health?

Last week we hosted a “What Role Does Music Play in Your Mental Health?” Empowered #patientchat with Amanda G (@LALupusLady) on Twitter. Take a look at the top tweets and full transcript from the chat.

Top Tweets

Do you think music can be used as a coping mechanism? If so, how?

#patientchat - What Role Does Music Play in Your Mental Health? Highlights


What ways can we incorporate music into patient care?

#patientchat - What Role Does Music Play in Your Mental Health? Highlights #patientchat - What Role Does Music Play in Your Mental Health? Highlights

 


Full Transcript

How Does Artificial Intelligence (AI) Improve MPN Patient Care?

How Does Artificial Intelligence (AI) Improve MPN Patient Care? from Patient Empowerment Network on Vimeo.

Myeloproliferative neoplasm (MPN) patients can benefit from increased use of artificial intelligence (AI) in their care. Watch to learn about patient care improvements from AI, what it means for MPN patients, and potential future developments in AI.

See More From the MPN TelemEDucation Resource Center

Related Resources:

What Does Teleoncology Mean for Myeloproliferative Care?

Notable New MPN Treatments

New Developments in MPN Care


Transcript:

The use of artificial intelligence (AI) in telemedicine is ever expanding. In telemedicine visits, AI can provide translations for non-native English speakers, more efficient analysis of imaging and other tests, use algorithms to better predict staffing levels for improved patient care, and much more.

The increased use of artificial intelligence translates to improved care for MPN patients. Patient health can be monitored more frequently, more time can be spent with each patient, and tests can be evaluated more accurately through analysis by both providers and AI. These benefits will result in monitoring of treatment and symptoms more often for optimal patient care.

As artificial intelligence continues to evolve, patients are apt to see even more treatment advancements and personalized care. Quality of life should improve as MPN specialists can spend more time learning about the latest MPN treatment advancements and to focus more on patient health outcomes.

Please remember to ask your healthcare team what may be right for you.

#patientchat Highlights – How Can You Use Technology for Better Care?

Last week we hosted a “How Can You Use Technology for Better Care?” Empowered #patientchat on Twitter. Take a look at the top tweets and full transcript from the chat.

Top Tweets

Which digital applications (if any) do you use to help manage your health and why?


Has technology changed healthcare to benefit patients? If yes, how so?



Closing Thoughts


Full Transcript

#patientchat Highlights – Extended Reality: The Use of VR, MR, and AI for Patients

Last week we hosted a “Extended Reality: The Use of VR, MR, and AI for Patients” Empowered #patientchat on Twitter. Take a look at the top tweets and full transcript from the chat.

Top Tweets

Do you have any reservations of extended reality and/or AI being used in healthcare? If so, what are they?

#patientchat Highlights #patientchat Highlights


How can we increase the overall education around extended reality and artificial intelligence being used in healthcare for patients and their loved ones?

#patientchat Highlights


Full Transcript

March 2022 Digital Health Round Up

Cancer screening is the best tool available in the fight against cancer. Thanks to technological advances, one company is using artificial intelligence to transform the future of cervical cancer screening. Rush Hospital in Chicago is also using an artificial intelligence system to improve colon cancer screening. Both cervical and colon cancer often do not present with symptoms in early stages, so screening is important. A company in Madison is using digital technology to analyze tumor biopsies, in turn allowing for more effective treatment options for providers and patients.

AI Transforms Cervical Cancer Screening

Health experts said the new technology could be instrumental in ensuring earlier detection of pre-cancerous cells and cancer cells and has the potential to save lives, reports Newschainonline.com . A hospital in the UK is piloting the technology using artificial intelligence that takes digital cytology images from cervical smear samples that test positive for HPV (human papillomavirus). The AI sorts through all the cell images and pulls out the images of abnormalities. The expert providers use these images to detect pre-cancerous and cancerous cells, allowing for earlier diagnosis and treatment of cancer. Find more information here.

Rush Deploys AI System for Colon Cancer Screening

The Medtronic GI Genius intelligent endoscopy system can help increase the ability to locate multiple polyps during a colonoscopy by 50 percent, resulting in enhanced diagnosis and treatment of digestive diseases, reports healthitanalytics.com . This Artificial Intelligence helps physicians find polyps that the naked eye cannot see, therefore catching the polyps before cancer can develop. Colon cancer is the second deadliest cancer. Rush Hospital in Chicago, Illinois is using the technology during their colonoscopies. Find more information here.

Madison Company Testing New Technology in Cancer Diagnosis

With three-dimensional imaging licensed from the Wisconsin Alumni Research Foundation, based on work from the lab of UW-Madison biomedical engineering professor Kevin Eliceiri, Elephas Biosciences can analyze live tumor samples to see how well they respond to therapies, reports Madison.com . This can help diagnose all types of cancer with solid tumors. These live tissue samples from the biopsies can be tested with different treatments to see which is most effective. Physicians can try the treatment on the tumor before using it on the patient; this could eliminate blind testing and provide better outcomes with less side effects for patients. Find more information here.

January 2022 Digital Health Round Up

Technology has changed the face of healthcare; this new year begins with exciting advances that positively affect the patient and the provider. Providers embracing telemedicine are creating opportunities to change the entire patient experience. The use of AI (artificial intelligence) can take care of tasks that free up more time for providers to spend with the patients. AI is also being used to help identify patients with certain head and neck cancers, that would benefit from lower doses of radiation, decreasing radiation toxicity and side effects for patients.

Healthcare Technology

If you can achieve the right mix of high-tech, high-touch options, you’ve hit the sweet spot for improving equity and accessibility, patient engagement, health outcomes, loyalty, and profitability, reports MedCityNews.com. Telemedicine offers patients a way to seek medical care without missing work and often from the comfort of their own home. With proper education, telemedicine makes healthcare accessible to everyone regardless of language barriers or disabilities. Telemedicine does not replace the hands-on approach of medicine, but it offers interesting and convenient options for patients. During the pandemic, telemedicine has proven to be a powerful tool to stay in touch with patients and keep everyone safer. Find more information here.

Artificial Intelligence to Support Both Caregivers and Patients

In healthcare, as in all fields, the job of AI is not to replace humans, but rather to perform repetitive, tedious and time-consuming tasks so that people don’t have to – freeing time for tasks that require personal touch, reports Enterpeneur.com. AI uses algorithms to predict patient volumes for hospitals, anticipating appropriate staffing for caregivers. AI can quickly sort through images and information saving providers time to get them the appropriate information faster. Humans will always be the ultimate decision makers, but AI can be a tool to help them provide better care. With the increasing demands on providers, time with patients is the most important aspect of their job. Artificial intelligence allows for more efficient use of that time, allowing for better patient outcomes. Find more information here.

Artificial Intelligence to Help Patients Avoid Excessive Radiation

A Case Western Reserve University led team of scientists has used artificial intelligence (AI) to identify which patients with certain head and neck cancers would benefit from reducing the intensity of treatments such as radiation therapy and chemotherapy, reports MedicalXpress.com. The AI program analyzed hundreds of tissue samples from patients with a particular type of head and neck cancer. It was able to pick out some of those patients that could have done well with a lower dose of radiation. Reducing the level of chemotherapy and radiation can significantly reduce some of the toxic side effects of the treatments. Using Artificial Intelligence to achieve this can give the patient better quality of life. There is hope in the future that this application can be used in clinical trials and eventually with other types of cancer as well. Find more information here.

Technology is an important partner to healthcare providers and patients. Every day there are great advances in treatment due to artificial intelligence. The potential of telemedicine is expanding and helpful in our daily lives. Technology is an area of healthcare to follow and see all the benefits it will provide for patients and caregivers alike.

September 2021 Digital Health Roundup

More and more technologies, from gaming technology to artificial intelligence, are being used in the quest to beat cancer. Electronic appointments are helping with taking medicine, and steps are being taken to protect patient data.

The Federal Trade Commission (FTC) is working to combat breaches of personal data by making health apps more accountable when it comes to telling patients their data has been exposed, reports mobihealthnews.com. In a recently released statement, the FTC announced that health apps will need to notify users, the FTC, and possibly the media when data is compromised, and if they fail to make the notifications, they could be fined more than $40,000 a day. Learn more here.

Electronic directly observed therapy (eDOT) is a technology that is becoming more popular for providing medical services to patients, especially when it comes to taking medicine correctly, says ardorcomm-media.com. The eDOT appointments can be scheduled live, or they can be recorded. Providers can ensure that medications are taken properly and on time, and they can observe any side effects that may occur. Providers can also provide coaching or training during the appointments. The eDOT appointments require less time and resources than in-person visits. Find out more here.

Researchers are using 3D printing to create models of glioblastoma tumors, reports reuters.com. The models are made by taking part of the tumor from the patient’s brain and using it to print a 3D model of the tumor and then to fill it with the patient’s blood, creating a viable tumor. Researchers are then able to test how well various treatments will treat the tumor before they try them on the patient. Glioblastoma is the most common brain cancer in adults and is an aggressive cancer with poor prognosis. Learn more here.

Researchers have been inspired by gaming technology to create a virtual tool to study cancer, reports webmd.com. The tool, a virtual cancer tracker named Theia, for the Greek goddess of sight and clairvoyance, allows researchers from around the world to interact and study the cancer using 3D models and virtual reality. Get more information here.

A new type of artificial intelligence (AI) is being developed to detect lung cancer, says genengnews.com. It is a blood testing technology that can potentially detect over 90 percent of lung cancers. The test is called DELFI, which stands for DNA evaluation of fragments for early interception, and it can detect the fragmentation of DNA from cancer cells that circulate in the bloodstream. Researchers are hopeful that if lung cancer screening is as simple as a blood test, more people may get screened, and the cancer could be detected at earlier, more treatable stages. Learn more here.

How Will the Medical Industry Change in the Coming Years?

Under the influence of technology, healthcare is becoming a more complex system. By introducing features such as: 3D-printing, Nanotechnology, Artificial Intelligence, Robotics, and VR/AR, it is critical to acquaint yourself with the latest healthcare developments to understand and control digital healthcare technologies. 

There are a lot of factors at play in the modifications of healthcare. Having a profound understanding of this growing intricacy will facilitate comprehension of what’s to come. With the help of USMLE prep, the medical community keeps growing with the addition of new students and ideas.

Which Factors Contribute to Change in the Medical Industry

According to the Medicare Payment Advisory Commission (MedPAC), justification of the development of healthcare is implicated by several factors such as:

  • Health insurance coverage: While insurance coverage is an assurance of more medical services, modern trends of insurers and employers place a fiscal obligation on patients in the form of deductibles, copayments, and coinsurance, which brings about slow growth rates
  • Healthcare product and service prices: It is evident that the increase in pricing of medical products and services has impacted healthcare spending growth
  • Demographics and patient idiosyncrasies: Variations in the health status and age of the population significantly affects how much is spent on healthcare
  • Market capacity: Healthcare providers are known for consolidating at a rapid rate. Incorporating others gives a more significant market power over insurers
  • Technology: This is one factor that has the most critical effect on healthcare change, according to MedPAC

 How Technology Will Better Healthcare

In the medical world, digital technology will result in extraordinary achievements. It could help revamp unsustainable healthcare systems into more sustainable ones. Technology is shaping healthcare in the following ways:

Robotics

This is one of the rapidly growing healthcare fields. Its developments vary from robot companions through surgical robots until pharmabotics, exoskeletons, and disinfectant robots. In 2019 Europe saw its first exoskeleton-aided surgery that enabled a tetraplegic man to control an exoskeleton with his brain. These sci-fi suits have many more applications that help both the patient and the caregiver.

Artificial Intelligence (AI)

Artificial intelligence has the absolute potential to completely redesign healthcare. AI algorithms can design treatment plans, mine medical records, and develop drugs faster than any medical professional on the healthcare palette.

3D-Printing

3D-printing is capacitated to give rise to miracles in all facets of healthcare. We can print: artificial limbs, bio tissues, blood vessels, pills, amongst other things, with its help.

Healthcare Trackers, Wearables, and Sensors

This equipment is excellent for getting to understand ourselves better and reestablish control over our individual lives. These devices help you manage your: stress levels, weight, cognitive capabilities, and overall fit and energetic level. The real advantage of these tech-fueled appliances is that it centralizes the patient’s care.

Augmented Reality

Users of augmented reality do not lose touch with reality, and it ingrains information into the eyesight as fast as possible. These unique aspects allow AR to become a driving force in therapy for the receivers and providers of healthcare.

Medical Tricorder

As far as instant solutions are concerned, this gadget is considered every medic dream for an almighty and omnipotent device. It is a handheld device that enables you to diagnose and analyze every disease by scanning a patient.

Nanotechnology

We are on the brink of a nanomedicine era. Soon, nanodevices and nanoparticles will be critical; tiny surgeries, drug delivery systems, or cancer treatment.

Revolutionizing Drug Development

The procedure of formulating new drugs is long and expensive. There are techniques to enhance drug development with designs ranging from silico trials to artificial intelligence. New strategies and technologies are already dominating the pharmaceutical landscape and will continue to do so in years to come.

Virtual Reality

Virtual reality is altering the lives of patients and also physicians. It is possible that in the future, we will watch surgeries as if you wielded the scalpel, or you could travel home or to any other part of the world from your hospital bed.

Something to Think About

Technology is becoming more and more rooted in medicine, and it is essential to have an idea of the future methods of implementing healthcare with digital health on the rise.

February 2021 Digital Health Roundup

Over the past year, with Covid-19 shutdowns keeping people home and out of their doctors’ offices, technology has taken an even more important role in healthcare. From virtual doctor appointments to navigating patient portals, now more than ever, patients need to understand how technology can benefit their health. Each month, Patient Empowerment Network (PEN) will round up some of the most notable digital health news pertinent to empowered patients and their caregivers.

Digital Health

So, what exactly is digital health? According to the U.S. Food and Drug Administration (FDA) at fda.gov, digital health includes a broad list of categories, such as health information technology, wearable devices, telehealth and telemedicine, and personalized medicine. The influence of digital technology in healthcare is almost infinite and is revolutionizing the healthcare industry, improving the ability to diagnose and treat disease and to improve the way healthcare is delivered to each individual. In addition, digital tools help to empower patients by giving them more control over their health. Patients can use digital technologies to make more-informed decisions and manage their healthcare. Providers use digital health to make healthcare more affordable, more personal, more efficient, and higher quality. The coming together of technology, patients, providers, information, and connectivity lead to overall improvements in healthcare and better health outcomes. Find more information about digital health and how the FDA is focusing on it here.

How Will Technology Influence Healthcare in 2021?

You may be wondering where you are most likely to see technological influence in your healthcare in 2021. There are several areas. Artificial Intelligence (AI) saw a lot of advancements in 2020, and it is expected to be further used to advance healthcare in 2021, says medcitynews.com. In the oncology field, technology advances are changing the way disease is being diagnosed through pathology, which traditionally is a manual process. In 2021, the trend is moving more and more toward digital pathology, which saves times and labor costs. AI advancements are also being used in areas of triage, diagnosis, and analysis. Digital technology can be used to collect and share patient data from a variety of sources so that doctors can determine the best diagnosis and treatment.

Technology is also expected to continue to expand patient access to medical care through telehealth, increasing personalization of care, quality control, and screening protocols. Get more information about the ways AI is predicted to advance healthcare in 2021 here.

Another area that continues to be widely used in healthcare is Virtual Reality (VR), technology that simulates an experience, according to a recently updated article by news-medical.net. Medical training is one of the most prevalent ways VR is used in healthcare. Students can learn how to manage any type of medical situation through VR simulation giving instructors the opportunity to see how the student would respond in real life. VR is also used to simulate surgeries and give medical professionals visual access to the inside of the human body, without having to dissect cadavers. In some cases, VR training is believed to be superior to more conventional forms of medical training. Learn how VR is being used to treat mental health and addiction, manage pain, shorten physical therapy recovery times, and educate patients here.

Patient Access to Care

One of the most important aspects of digital healthcare is access. Patient portals are being used more and more, but not all patients have access to them, reports healthcareitnews.com. A study involving kidney patients found that many patients aren’t actively engaged in their care and that interventions are needed to make sure all patients have access to patient tools. Patient portals provide access to personal records and educational resources, but studies show that black patients, older patients, and patients who use Medicaid as their primary insurance were not as likely to use patient portals as white patients, younger patients, and patients with other types of insurance. Researchers found that patients who used the portals had more knowledge and better health status, and that they had less disease-related stress. While the use of portals is promoted by health systems, they may actually be widening health disparities for patients who aren’t using or don’t have access to the portals. The study suggests that more effort needs to be made to ensure that all patients have access to the digital tools that can help improve their patient outcomes. Learn more here.

Recognizing that technology is advancing care for many, but that it can also further expand the digital divide, a new group to address the disparities in access to healthcare has been launched, reports healthcareitnews.com. The Telehealth Equity Commission, made up of groups who attended the American Telemedicine Association’s EDGE policy conference, plans to use a data-driven approach to help improve telehealth policy. Learn more here.

One thing is certain: digital technology is here to stay, and its influence on patient health is expanding. To ensure that you have access to all the latest digital healthcare, become a Digitally Empowered patient through Patient Empowerment Network’s free Digitally Empowered™ Course. The course will help you to become more tech-savvy so you can research your condition, ask informed questions, and take an active role in shared decision making with your care team. Access the course here.

Artificial Intelligence in Healthcare

Ready for its closeup, or not ready for primetime?

Headlines about the advent of artificial intelligence, AI, in pretty much every sector of human life or enterprise seem to be a daily occurrence. Other phrases that get thrown around in stories about AI are machine learning, deep learning, neural networks, and natural language processing.

Here’s a handy list, from the transcription company Sonix, which uses some of these AI tools to drive their service:

  • Artificial Intelligence (AI) –the broad discipline of creating intelligent machines
  • Machine Learning (ML) –refers to systems that can learn from experience
  • Deep Learning (DL) –refers to systems that learn from experience on large data sets
  • Artificial Neural Networks (ANN) –refers to models of human neural networks that are designed to help computers learn
  • Natural Language Processing (NLP) –refers to systems that can understand language
  • Automated Speech Recognition (ASR) –refers to the use of computer hardware and software-based techniques to identify and process human voice

A lot of the stories I see about AI are focused on how it might impact, improve, or otherwise influence healthcare. Depending on who you listen to, it sounds like AI is already diagnosing cancer successfully – here are two pieces, from science savvy sources, on how that’s working, “AI is already changing how cancer is diagnosed” from The Next Web, and “AI matches humans at diagnosing brain cancer from tumour biopsy images” from New Scientist, for your reading pleasure.

As aspirational as the idea of AI in healthcare is, and despite the fact that it’s showing some promise in cancer diagnosis, I’m not thinking that it’s time for the champagne, balloons, and glitter … yet.

One of the biggest barriers to AI is the same barrier everyone – on both sides of the stethoscope, and all the way up to the c-suite – in healthcare confronts daily: data access and liquidity. Data fragmentation is rife across the entire healthcare landscape, with EHR systems that don’t talk to each other well (if at all), and insurers unwilling to open their datasets to anyone under cover of “trade secrets.” In “The ‘inconvenient truth’ about AI in healthcare” in the journal Nature, the authors (British, so this is not just an American problem) point out that, “Simply adding AI applications to a fragmented system will not create sustainable change.” Healthcare systems may be drowning in data (they are), but tools to parse all those data lakes into actionable insights aren’t able to bust the dams holding in that data.

Access is one barrier. Another is the ethics of using AI in healthcare. The American Medical Association’s Journal of Ethics devoted an entire edition to that issue in February 2019, with AMA J Ethics editor Michael J. Rigby calling for deeper discussions about preserving patient preferences, privacy, and safety before implementing AI technology widely in healthcare settings. He particularly notes the impact AI could have in medical education, with medical education being shifted from a focus on absorbing and recalling medical knowledge to a focus on training students to interact with and manage AI-driven machines; this shifting would also require attention to the ethical and clinical complexities that arise when humans interact with machines in medical settings.

AI, across all uses, but particularly in healthcare, has to take a long, hard look at how bias can spread algorithmically, once it’s baked into the code that’s running the machines. There are data scientists doing bias detective work, but will the detectives be able to prevent bias, or just bust perpetrators once the biased outcomes appear?  Stay tuned on that one.

Is there an upside to AI in healthcare? Absolutely, *if* the ethical issues on privacy and error prevention, and the practical issues on data access, are addressed. AI could pave the way to fully democratizing information, both for patients and front-line clinicians. It could liberate all clinicians from data-input drudgery, or “death by a thousand clicks.” The Brookings Institution has a solid report, “Risks and remedies for artificial intelligence in health care,” as part of its AI Governance series, that breaks down the pros and cons.

Circling back to the question in the headline, is AI in healthcare ready for primetime? This person’s answer: it depends. I think that rigorous study, in the development of AI in medicine and its use in the healthcare system, is required as an ongoing feature of AI tech used in human health. Upside there? A whole new job classification: AI oversight and management.

How Healthcare May Be Improved With Artificial Intelligence

If you have not been up to date with healthcare news, or do not work in any healthcare related field, you may be unaware of the gradual increase how reliant the sector is on technology. Every facet of society has been on an upward climb with how digitized it is, and healthcare is no exception. From breakthroughs as interesting as robotic surgery to standardizing electronic patient notes, both primary and secondary care have grown accustomed to the benefits of how artificial intelligence can benefit them.

In healthcare, introducing new treatment whether based in technology or pharmaceuticals is highly expensive, though great efforts are being taken to increase efficiency, reduce human errors and improve healthcare overall. In the long running of things, this would save the healthcare economy billions in coming decades.

Genomics

There has been a public declaration made by IBM Watson Health to incorporate artificial intelligence to the ongoing battle against cancer. The focus currently lies with later stage cancer patients who are at their most critical points. This is because it is likely current treatments have failed for them, or aren’t strong enough. New treatments could offer them the best chances when facing their life or death situations.

Specific genetic factors involved in cancer can be identified and targeted with idealized therapies. This offers hope to many Veterans in the US, and cancer patients worldwide.

Drug Discovery

It has been about three whole decades since a new effective antibiotic has been discovered. This has led to a seemingly losing battle with the emergence of more superbugs (antibiotic resistant pathogens) significantly often. The journey to discovering new drugs is very expensive, meaning many drug companies have slowed down the process of discovery. However, Pfizer’s use of IBM Watson (technology that utilizes machine-based learning) is pioneering the path to finding new drugs that are active for cancer and immune therapies.

Other drug companies such as Sanofi are using artificial intelligence to find new therapies for metabolic disease; Genentech are also leading the way in cancer research with artificial intelligence from Cambridge, Massachusetts.

Robotic Surgery

The correct term for this is robot-assisted surgery, because though it looks like a robot is handling the surgery from the operating theatre, there is actually a surgeon (or multiple surgeons) that are controlling the robotic tools remotely. This has been rolled out successfully in multiple countries so far. These include the United Kingdom and Dubai. The major benefits of robot-assisted surgery is increased precision and accuracy. There is less room for human error, and more room for improved patient care.

Secondary Prevention

One of three or sometimes four main branches of prevention, secondary prevention relates mostly to medical imaging. There has been a huge surge of technological advances in this area in the past century. The simple ultrasound has become 3D imaging and the simple radiograph has become detailed computerised tomography. New approaches can now be taken, that reveals more information about patients. This leads to clearer imaging, faster diagnosing and better results.

Personalized Medicine

Genetic screening has been more incorporated into healthcare since the sequencing of the human genome in recent decades. With genetic information and associations readily available, more accessible means of accessing patient DNA have been developed. There are now easy methods of reaching a patient’s genetic code and assessing their risk for certain health issues that carry genetic risks.

“Polygenic scoring weighs the linear combination of multiple small genetic variations and are used in predisposition assessment,” says Mary Crawford, tech blogger at Australia2Write and Write Myx.

Visual Assisting

Nursing is investing in the development of virtual assistants, which can take over the role of healthcare assistants and push the healthcare staff population to higher fields of work. Healthcare providers will then be able to maintain continuous contact with patients.

Better Data Security

A major leap in healthcare is digitizing patient records, and rolling out a singular way of standardizing them across the country. Though this is extremely useful for transferring patients from healthcare provider to healthcare provider, it creates room for a cyber-attacks that will steal sensitive data.

“As artificial intelligence increases with patient data storage, it also increases with cybersecurity. Extra security is essential to patient protection,” says Erick Schmid, data analyst for Brit Student and Next Course Work.

Discussing how healthcare may become revolutionized by artificial intelligence may conjure up images of the 1985 movie Daryl. However, the movements are very much real and non-fictional. Productivity is on the rise and medicine has become more business-minded.

Due to its benefits, artificial intelligence is certainly gaining popularity in the healthcare industry and there are developments every year. There are predictions that the involvement of artificial intelligence will grow by 1000% by 2015, pushing it to become a 13 billion dollar industry.

Michael Dehoyos is a medical Blogger at Phd Kingdom and Academic brits. He assists companies in their marketing strategy concepts, and contributes to numerous sites and publications. Also, he is a writer at Case Study Help, academic service.