Rethinking the EHR Experience: Stanford’s ChatEHR Pilot and What Clinicians Are Saying
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 medical and health tech community. The initiative, currently in pilot phase, aims to relieve clinicians from one of the most pressing burdens of modern care: […]
Bridging the Gap: Accelerating Scientific Publishing in the Age of Rapid AI Advancement
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 of 2019, artificial intelligence preprints were submitted to the open-access repository arXiv at a rate exceeding three per hour, a 148-fold increase compared to 1994, […]
When Chatbots Beat the Virologists: What the New “VCT” Benchmark Really Means
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 Quick Story Researchers at SecureBio and the Center for AI Safety rounded up dozens of PhD-level virologists to build 322 complex questions—many with electron microcopy […]
Two AI Paradigms in Medical Education: The Generative Tutor and the Agentic Coach
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 to further revolutionize medical training as proactive, autonomous coaches guiding learners through dynamic clinical scenarios. Together, these AI paradigms offer complementary benefits in educating future […]
AI Prompting for Clinicians
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 Need for AI Literacy in Medical Education
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.
Large Language Models Limitations
Artificial Intelligence (AI) Large Language Models (LLMs) are reshaping the medical landscape, offering new ways to support clinicians, students, and researchers. While these models can enhance efficiency and knowledge-sharing, it is essential to recognize both their strengths and limitations.
How Busy Medical School Faculty Can Use Generative AI to Write Letters of Recommendation—Responsibly
Writing a thoughtful, well-crafted letter of recommendation (LOR) is one of the many academic responsibilities that often fall to faculty in medical schools. Whether you’re a physician, a basic science professor, or hold an administrative role in medical education, these letters play a critical role in shaping the careers of students, trainees, and colleagues. But […]
Rethinking Medical Education with Generative AI: From Passive Learning to Active Intelligence
Published: March 2025 Generative AI For decades, medical education has relied on a familiar trio: lectures, textbooks, and videos. While these tools have their place, today’s generation of students—digital natives immersed in interactive tech—need more dynamic, personalized learning experiences. Whether it’s ChatGPT, Claude, Gemini, or Perplexity, large language models (LLMs) are now powerful enough to […]
Optimizing AI Interactions: How Prompting Strategies Impact Performance
This blog post discusses research that is currently in its preprint stage on SSRN. A preprint means the study has not yet undergone formal peer review, and its findings should be interpreted with caution until further validation. Artificial intelligence (AI) models, particularly large language models (LLMs), are increasingly used in business, education, and policymaking. However, […]