From automation to adaptive care, healthcare’s smartest machines are learning to care.

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...

Please provide your email address to receive an email when new articles are posted on . The foundation for successful surgical outcomes is built long before a patient’s preoperative workup. Taking ...

Researchers from Osaka University use machine learning to identify patients more likely to survive traumatic injury if treated with tranexamic acid. Worldwide, approximately 4.5 million people die of ...

Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Clinical trial data were used and contained ...

TrialTranslator uncovers the survival gap for high-risk patients and offers a path to better cancer research. Study: Evaluating generalizability of oncology trial results to real-world patients using ...