Enhanced Gynecologic Oncology Decision Support: Impact of Guideline-Anchored Retrieval-Augmented Generation Versus Baseline and Literature-Based AI Models

Enhanced Gynecologic Oncology Decision Support: Impact of Guideline-Anchored Retrieval-Augmented Generation Versus Baseline and Literature-Based AI Models

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, highlighting the critical role of direct guideline integration.
AI-Driven Decision Support for Antibiotic Switching: Why Clinicians Value Caution Over Speed

AI-Driven Decision Support for Antibiotic Switching: Why Clinicians Value Caution Over Speed

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 clinical evidence outweigh the importance of AI explanations at the point of care.