Researchers at the National Institutes of Health (NIH) have found that an artificial intelligence (AI) model solved medical quiz questions—designed to test health professionals' ability to diagnose ...

While large language models ace medical exams, their inability to recognize uncertainty highlights a critical flaw that could impact patient safety. Research: Large Language Models lack essential ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Groups of doctors outperform consistently outperform individuals. Key developments now make ...

We present the TRIAGE benchmark, a novel machine ethics benchmark designed to evaluate the ethical decision-making abilities of large language models (LLMs) in mass casualty scenarios. TRIAGE uses ...

Large language models (LLMs) are increasingly transforming medical applications. However, proprietary models such as GPT-4o face significant barriers to clinical adoption because they cannot be ...

Medical large language models (LLMs) are increasingly being used in clinical settings. For example, AI is helping doctors in ...

Retrospective study using anonymized medical records of patients with BC presented during multidisciplinary team meetings (MDTs) between January and April 2024. Three generalist artificial ...

MEREDITH identified a broader range of treatment options (median 4) compared with MTB experts (median 2). These options included therapies on the basis of preclinical data and combination treatments, ...

Many of the challenges we address here were evident to the pioneers of medical decision analysis of the 1950s 7 and to scholars in subsequent decades 8-11 who conducted careful and creative studies of ...

Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...

Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief ...