Researchers develop AI-based tool for estimating cancer patient's chances for survival

Currently, estimating survival rates for patients with cancer primarily depends on their cancer stage, said lead study author Lauren Janczewski, MD, a clinical scholar with ACS Cancer Programs and a general surgical resident at Northwestern University McGaw Medical Center, Chicago.

Using a type of AI known as machine learning, the multicenter research team created a prototype tool called the Cancer Survival Calculator and tested it on a nationwide cancer dataset. Initial tests estimated five-year survival for patients with cancers of the breast, thyroid, and pancreas. Three-fourths of the collected data were used to train the machine learning algorithms to recognize patterns between characteristics at diagnosis and patients' survival at five years, and then to rank the factors with the greatest influence on survival. With the remaining data, the researchers used statistical methods to test the prototype's accuracy in estimating survival.

Related Stories Also found to be important for survival from breast cancer were hormone receptor status, which is part of breast cancer staging, and the presence of Ki-67, a biomarker in breast cancer. Advantages of the new calculator The Cancer Survival Calculator differs in several ways from cancer survival estimators already in use, according to Dr. Janczewski:

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