Ai in clinical practice Archives - Page 10 of 23

Recent imaging AI advances enable two complementary capabilities: near-instant detection of emergent findings and prediction of future fractures

Federal policy choices in early 2026 are decisively shaping how AI will be governed and used across healthcare.

As AI systems move into operating rooms, recent reports of misidentified anatomy and misleading intraoperative outputs reveal a

New studies show LLMs and chatbots remain vulnerable to persuasive medical misinformation, especially when false claims appear authoritative.

Significant funding rounds and nearly $400B market projections show investor confidence in AI-enabled healthcare IT. This post analyzes

Epic's rollout of native AI charting is accelerating a broader shift: documentation intelligence is moving from optional add-ons

AI-driven models are accelerating drug discovery and changing how clinical trials are designed and financed. This post analyzes

Large language models are rapidly moving from research prototypes to practical tools that can broaden diagnostic access in

Regulatory updates in 2026 are redefining how healthcare AI is classified, validated, and monitored. This post synthesizes evolving

AI in healthcare sits at a crossroads: inflated expectations risk wasted investment and safety lapses, while practical, agentic

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