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18 results for "clinical AI"
The Trump administration is actively promoting AI clinical tools to lower healthcare costs, but physician groups and hospital networks are resisting over unresolved liability and patient safety concerns.
Mayo Clinic and Microsoft are jointly training a domain-specific frontier AI model on Mayo's clinical datasets — targeting multimodal reasoning across imaging, labs, and notes for earlier diagnosis and personalized treatment.
ASUS launched a connected AI healthcare ecosystem at Computex 2026, pairing the DuoScan handheld ultrasound and VivoWatch 6 Plus wearable with a no-code clinical AI platform that lets clinicians build agentic workflows without programming.
Rural and community clinicians report AI documentation tools genuinely reduce administrative burden — but raise hard questions about data privacy, security liability, and automation bias in care.
A new study finds patients consistently withhold symptoms from AI health chatbots, creating a diagnostic gap that undermines real-world accuracy even as AI outperforms doctors on benchmarks.
Just 59% of healthcare organizations have standardized processes to track deployed AI agent performance, while 68% of nurses report insufficient training and 60% lack confidence in their organization's AI governance.
80% of U.S. physicians now use AI in clinical workflows — double the rate from three years ago — as ambient intelligence and agentic AI emerge as the next healthcare frontier.
Four major U.S. health systems have embedded AI directly into clinical workflows — and the outcome data is starting to arrive. With 80% of U.S. physicians now using AI, double the 2023 rate, the AHA profiles what scaled deployment actually looks like.
Boston teaching hospitals are drafting formal AI diagnostic protocols after studies showed AI matching or outperforming ER physicians, making Massachusetts a national bellwether for clinical AI governance.
Massachusetts doctors are caught between AI tools patients bring to appointments and AI systems hospitals are deploying — and neither side is clearly in control of how those tools shape diagnosis.
AI has crossed a quiet threshold in Vermont's rural hospitals — not through institutional mandates but through physicians solving real problems with ambient documentation and diagnostic tools.
Patients share significantly less symptom detail with AI diagnostic chatbots than with human physicians, and that disclosure gap could undermine clinical accuracy regardless of how well the underlying models perform.
Google DeepMind announced an AI co-clinician system built to provide real-time diagnostic support during patient encounters — moving AI from back-office documentation into clinical decision-making.
Hoppr and Nvidia built a foundation model approach that lets hospitals train clinical AI on hundreds of patient records instead of 100,000 — opening hospital-grade AI to community health systems.
A new NVIDIA-commissioned survey finds AI is producing measurable returns across healthcare, with hospitals reporting concrete gains in radiology throughput, diagnostic accuracy, and drug discovery timelines.
Only 42% of Americans are open to AI being used in their healthcare — down from 52% in 2024 — even as hospital systems accelerate AI deployment across clinical, diagnostic, and documentation workflows.
OpenAI launched a free AI tool for verified U.S. physicians, NPs, PAs, and pharmacists — and its underlying model scored 59.0 on a clinical benchmark vs. 43.7 for human doctors with unlimited time and internet.
A JAMA study across five academic medical centers found AI ambient scribes cut documentation time by 16 minutes per appointment — clinical evidence health systems have been waiting for before committing to enterprise deployment.