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 ...

Asking multimodal large language models (LLMs) to reason step by step before answering improved both their accuracy and the ...

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

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 ...

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 ...

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 ...

Two independent AI models that can assist with multiple stages of patient management, from diagnosis to treatment decisions, ...

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

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

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 ...