Machine Intelligence for Early Targeted Precision Management and Response to Outbreaks of Respiratory Infections
This paper evaluates novel machine intelligence to predict patients at risk of severe respiratory infections and recommend postacute care providers likely to reduce infection risk.
Cardiologists’ Goal With AI: Save Time, Save Money, Save Lives
Data Suggest ASCVD Scores Overlook Atherosclerosis in Low, Borderline-Risk Patients: Anna Mueller, MD
ZENITH Trial Findings Could Reshape PAH Treatment, Extending Sotatercept’s Reach
FDA Approves Durvalumab Combo for Muscle-Invasive Bladder Cancer