June 8, 2025 Stanford Medicine’s recent announcement of ChatEHR—a new large language model (LLM) interface embedded directly into the Epic electronic health record (EHR)—has drawn substantial attention from across the

  The Speed of Innovation Surpasses Peer Review Over the past decade, AI research has evolved from a niche scientific endeavor to a global enterprise driving advancements across disciplines. As

Ever wondered how far large-language models have crept into hands-on lab science? A new test called the Virology Capabilities Test (VCT) just set the bar—and the results are eye-opening. The

Introduction:  Medical training is at a pivotal moment, with generative AI already reshaping educational practices as reliable, on-demand tutors that deliver instant knowledge and feedback, while agentic AI is poised

In the rapidly evolving landscape of healthcare, artificial intelligence (AI) has become an invaluable tool for physicians, medical students, and residents. From diagnostic assistance to personalized treatment plans, AI’s applications are vast and transformative.

The rapid integration of artificial intelligence (AI) into medicine is reshaping clinical practice, research, and medical education. Large language models (LLMs) such as ChatGPT, Claude, and Bard have demonstrated capabilities in passing medical licensing exams, assisting with clinical decision-making, and enhancing medical training. However, despite the widespread adoption of AI tools among medical students, most receive little or no formal training on their responsible and effective use.