A new modeling tool may be able to help doctors assess which treatments are best for individual patients with colorectal cancer. The artificial intelligence program analyzes a patient’s disease details — such as the stage of cancer and other chronic conditions — and compares those details to other colorectal cancer cases to predict the patient’s chance of surviving past 10 years.
“Predicting survival of cancer patients as a means to help determine treatments is not new,” said Jean Emmanuel Bibault, MD, PhD, a radiation oncologist who led the study. “But current standard techniques are not very accurate, and we’re hoping that by using AI we can bring more precise information to doctors as they make crucial decisions about care… Continue reading.
WASHINGTON, D.C.— The American Institute for Medical and Biological Engineering (AIMBE) has announced the pending induction of Lei Xing, Ph.D., Jacob Haimson Professor, Radiation Oncology, Stanford University, to its College of Fellows. Dr. Xing was nominated, reviewed, and elected by peers and members of the College of Fellows For outstanding contributions to the field of medical physics and biomedical enginering, in particular in the area of inverse treatment planning and X-ray molecular imaging.