Accurate prediction of early postoperative recurrence in hepatocellular carcinoma (HCC) remains challenging. We developed and validated an interpretable machine learning model to predict early ...

Fecalith-associated appendicitis presents unique challenges in conservative management due to increased perforation risk. Early identification of patients at high risk for appendiceal perforation ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

A machine learning study of 4,776 women found AI can predict physical, emotional, and social outcomes after breast cancer ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...