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A. Armoundas

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Review Open access Sep 2026

Artificial intelligence in clinical trials—state of the evidence, gaps, and next steps

This manuscript defines AI-as-intervention as AI whose output is itself part of the assigned clinical intervention being evaluated for its effect on participant care or outcomes, and AI-for-trial-operations as AI used to support trial design, conduct, or analysis without itself constituting the treatment under study.

A. Armoundas, C. Tarabanis, J. Loscalzo · 0 citations
Open access Sep 2026

Implications of the new US AI framework in medicine

How the new US AI framework may accelerate adoption while leaving clinically consequential tools outside traditional regulatory pathways is examined.

A. Armoundas · 0 citations
Review Open access Aug 2026

Evidence, use cases, and implementation safeguards of large language models in primary care

A pragmatic adoption approach is emphasized to prioritize high-volume, lower-risk clerical and communication workflows; maintain clinician verification and accountability; and apply governance and equity safeguards before scale-up before scale-up.

Michael Christof, Krish Patel, Jian-Dong Zhou et al. · 0 citations

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