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.
Dana Rehm is a professional writer and a strong patient advocate, learning from experience during her 22-year career as a nurse.