A group of investigators led by Cedars-Sinai have developed and successfully tested a new artificial intelligence method to make launching cancer clinical trials easier and faster. The method uses patients’ pathology reports to automate the classification of patients by the severity of their cancers, potentially shortening the process of selecting candidates for clinical trials.
A Mayo Clinic has developed an artificial intelligence model that can help specialists detect pancreatic cancer on routine abdominal CT scans up to three years before clinical diagnosis. It identifies subtle signs of disease before tumors are visible, when curative treatment may still be possible.
