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A study benchmarking large language models in gynecologic oncology demonstrates that guideline-anchored retrieval-augmented generation (RAG) configurations outperform baseline and literature-only AI systems in clinical decision support, hig
A multicomponent emergency department workflow using screening, electronic prompts, and discharge decision support significantly increased naltrexone prescribing for patients with alcohol-related diagnoses.
A randomized multimethod study reveals that while AI clinical decision support systems for antibiotic switching are well-received, their primary influence is reinforcing conservative prescribing. The study underscores that usability and cli
This review analyzes the MyLungHealth trial, demonstrating how EHR-integrated, patient-facing tools significantly improve lung cancer screening eligibility identification and CT ordering rates compared to clinician-facing support alone.
A personalized clinical decision support tool increased 30‑day reinitiation of ACE inhibitors or ARBs from 13% to 18% among veterans with CKD; benefits were modest and limited by population and implementation factors.
This review evaluates AI agent systems built on large language models in healthcare, demonstrating improved clinical task accuracy over base models, especially in complex scenarios. Multi-agent architectures show promise but require further
ArteraAI Prostate, the first FDA-approved AI-driven multimodal software, offers personalized clinical decision support for localized prostate cancer, improving treatment precision and reducing overtreatment risks.
Systemically biased AI models can reduce clinicians’ diagnostic accuracy, and explanations alone may not mitigate this harm, according to a multicenter study involving over 450 clinicians.
