JMIR Publications released two feature stories in its News and Perspectives section. Shalini Kathuria Narang's "Can Humanlike ...

Clinical reasoning is essential for effective medical practice, requiring framing of the encounter, diagnosing, and managing patient care. Large Language Models (LLMs) have recently emerged as a tool ...

Large Language Models (LLMs) show promise in healthcare tasks but face challenges in complex medical scenarios. We developed a Multi-Agent Conversation (MAC) framework for disease diagnosis, inspired ...

Google’s AMIE research AI matched primary care physicians overall in simulated, multi-visit disease-management reasoning and ...

The most important technology may not be the model itself. It may be the community that decides what that model means in ...

Studies show that AI increasingly matches or exceeds physicians on select diagnostic tasks, yet experts stress that clinical ...

The inherent variability and potential inaccuracies of AI-generated output can leave even experienced clinicians uncertain about AI recommendations. This dilemma is not novel; it mirrors the broader ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

The company is co-creating an AI foundation model for clinical conversations and announced it will offer an AI-powered clinician intelligence platform.

AI has outperformed physicians on emergency diagnoses, flagged pancreatic cancer up to three years early and beat specialized clinical software on medical benchmarks across several studies Becker’s ...

When evaluating simulated clinical cases, Open AI's GPT-4 chatbot outperformed physicians in clinical reasoning, a cross-sectional study showed. Median R-IDEA scores -- an assessment of clinical ...

Turns out, the AI model is correct. This type of scenario could become a reality in the-not-too-distant future, according to a study published Thursday in the journal Science. Researchers based at ...