Through recent research, University of Alberta neurology resident Liam McCoy has found that medical AI lacks clinical reasoning.

Hospitalist-led research is investigating how AI tools affect clinical reasoning, diagnostic accuracy, and workflow, while ...

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 ...

In a recent review published in The New England Journal of Medicine, researchers elucidate the challenges of supervising early-career medical learners who use powerful large language models (LLMs) as ...

An autonomous agentic workflow coordinating 5 specialized AI agents was able to screen for cognitive impairment from clinical notes.

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

A new study published in Psychiatry Research suggests that while large language models are capable of identifying psychiatric diagnoses from clinical descriptions, they are prone to significant ...

OpenAI published a new paper called "Monitoring Monitorability." It offers methods for detecting red flags in a model's reasoning. Those shouldn't be mistaken for silver bullet solutions, though. In ...

OpenAI’s new, powerful open weights AI large language model (LLM) family gpt-oss was released less than two weeks ago under a permissive Apache 2.0 license — the company’s first open weights model ...