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Category

Artificial Intelligence And Machine Learning

AI is arriving in clinical care, drug development and health technology assessment at once. This coverage follows deployments, the evidence behind them, and the regulatory and reimbursement frameworks still being written.

217 articles in this topic.

Articles in this category

AI guidance in clinical development: what industry is asking for

10/15/2026

AI guidance in clinical development: what industry is asking for

Regulators at the HMA-EMA AI group on 5 October 2026 outlined AI guidance in clinical development, with a concept paper and public consultation to follow.
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AI in Medical Education: Responsible Integration Across the Training Continuum

10/12/2026

AI in Medical Education: Responsible Integration Across the Training Continuum

AI is entering every stage of medical training. A new npj Digital Medicine Perspective maps how to integrate it responsibly across UGME, GME and CME.
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AI Governance in HTA: Ethics, Autonomy and Accountability

9/25/2026

AI Governance in HTA: Ethics, Autonomy and Accountability

Syenza's webinar on AI governance in HTA drew 71% of participants who had not yet used AI in their work. The session covered the paper's governance checklist, the in-house Navigator tool, and a live rapid HTA of rituximab in lupus. #SyenzaNews #HTA #AIinHealth #MarketAccess
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Responsible AI Regional Networks: The Missing Link for Low-Resource Health Systems

9/22/2026

Responsible AI Regional Networks: The Missing Link for Low-Resource Health Systems

Regional networks anchored to local contexts are the missing link for responsible AI in low-resource health systems, a new npj Digital Medicine Perspective argues. #ResponsibleAI #DigitalHealth #GlobalHealth #HealthEquity
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Multi-Agent AI Improves AI-Generated Medical Exams

9/14/2026

Multi-Agent AI Improves AI-Generated Medical Exams

A new open-source framework splits medical exam-item writing across specialist AI agents. In a blinded evaluation, multi-agent output won 57.7% of expert preferences against 42.3% for a single model. #SyenzaNews #DigitalHealth #AIinHealthcare
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AI in health technology assessment: what stays human

9/10/2026

AI in health technology assessment: what stays human

Alec Morton of NUS explains how AI is changing health technology assessment, what stays human, and why cheaper analysis could mean more health economics.
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UK Commission Sets Out a Framework for AI Healthcare Regulation

9/10/2026

UK Commission Sets Out a Framework for AI Healthcare Regulation

An independent UK commission has published its recommendations for regulating AI in healthcare. The report calls for staged approvals and continuous real-world monitoring, alongside stronger enforcement powers for the MHRA. #SyenzaNews #AI #Healthcare #MarketAccess
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AI in Portuguese Healthcare: What Should Portugal Want It to Do?

9/10/2026

AI in Portuguese Healthcare: What Should Portugal Want It to Do?

Nova SBE's Saúde em Perspetiva podcast asks what Portugal's National Health Service should want from AI, and where the red lines sit. #SyenzaNews #DigitalHealth #AIinHealthcare
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Linking Drug and Diagnostic Policy Pathways to Reach Patients Most Likely to Benefit

8/31/2026

Linking Drug and Diagnostic Policy Pathways to Reach Patients Most Likely to Benefit

Insurers are spending billions on breakthrough medicines, but the tests that decide who gets them are still an afterthought. Kathryn Phillips lays out four reforms to link drug and diagnostic policy pathways. #SyenzaNews #diagnostics #healtheconomics #MarketAccess
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AI Models Near Perfect Scores on German Medical Licensing Exams

8/31/2026

AI Models Near Perfect Scores on German Medical Licensing Exams

A new benchmark in npj Digital Medicine finds frontier AI models at near-perfect accuracy on German medical licensing exams, yet image questions still cut their scores far more than for students. #SyenzaNews #AIinHealthcare #DigitalHealth
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A Multi-Agent Clinical Trials Framework to Automate Trial Center Operations

8/24/2026

A Multi-Agent Clinical Trials Framework to Automate Trial Center Operations

Weill Cornell researchers have proposed ASTRA, a multi-agent system that would delegate routine clinical trial work to AI agents while human experts keep the final say on clinical and regulatory decisions.
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FDA Opens Docket for Input on Generative AI Medical Devices

8/21/2026

FDA Opens Docket for Input on Generative AI Medical Devices

The FDA has opened a public consultation on regulating generative AI medical devices, proposing a two-axis risk framework and a competency-based approach to premarket review. Comments close 19 October 2026.
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