Various commercial AI models for analyzing medical image data can be influenced by written annotations on the images.

Benchmark data provided by Quark indicates the healthcare model outperformed DeepSeek's R1 and V3, and OpenAI's GPT-4o, in ...

Medication mistakes — in which the wrong drug or the wrong dose is given to a patient — are among the most common errors in ...

A new, enhanced AI large language model (LLM) passed all parts of the US Medical Licensing Examination (USMLE) with scores ...

However, the integration of AI into medical devices raises significant regulatory challenges. Ensuring that these ...

Among many others, here are 14 game-changing medical applications of AI: ...

A new generation of medical data aggregators is using AI to offer health care professionals a different kind of interface and ...

A University of Houston researcher has developed an artificial intelligence system that can predict radiologist eye movements.

RIT biomedical engineering professor Cristian Linte and his research team are integrating artificial intelligence techniques ...

Significant structural reforms to the U.S. healthcare system are required to extract the full benefits of artificial intelligence, Lloyd Minor, MD, dean of the Stanford (Calif.) University School of ...

Ubitus and MacKay Hospital unveil three AI-powered medical robots to enhance patient care, logistics, and safety in hospitals ...