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

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

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 ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

A groundbreaking international study published in JAMA Otolaryngology-Head & Neck Surgery has demonstrated that Artificial ...