Machine Learning In Healthcare

How Predictive AI Is Helping Hospitals Anticipate Admissions and Optimize Emergency Department Throughput

Emergency departments across the U.S. are under unprecedented strain, with overcrowding, staffing shortages, and inpatient bed constraints converging into a throughput crisis. The American Hospital Association reports that hospital capacity and workforce growth have lagged, intensifying delays from arrival to disposition. At the same time, advances in artificial intelligence are moving from experimental to operational—raising…

Healthcare Operations Improve with AI That Unites Data, Automation, and Ethics

Generative AI has captured the public imagination, but its most transformative use cases may lie far from flashy consumer tools. In healthcare operations, where complexity, inefficiency, and fragmentation remain persistent challenges, AI is now driving measurable improvements. Research suggests AI-enabled healthcare systems could cut administrative costs by up to $360 billion in the U.S. alone….

Smart Tools, Safer Patients: Dr. Arpita Hazra Talks AI in Healthcare

Hospitals are leveraging machine learning and clinical data to identify safety risks before they harm patients

Overcoming Behavioral Health Challenges: Iris Telehealth’s Technology-Driven Approach

Virtual care platforms are shortening wait times and reaching underserved populations by connecting patients with behavioral health providers faster than tradit

AI-Driven Amino Acid Drugs Surface as a Promising Treatment for Eye Conditions

Researchers leverage AI to identify which protein building blocks can successfully penetrate eye cells, potentially speeding treatment development for vision di