Fueled by healthcare’s data deluge, enthusiasm for machine learning and artificial intelligence is on the rise as providers recognize the need for automated and analytic tools for managing patients ...

LOS ANGELES--(BUSINESS WIRE)--An international research team led by Etan Orgel, MD at Children’s Hospital Los Angeles (CHLA) has developed a novel machine learning model that can predict an individual ...

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 ...

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common ...

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...

A new study shows that artificial intelligence can be used to predict patients’ risk of developing a potentially lethal arrhythmia after experiencing heart failure. In the study, presented this week ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...