Researchers have developed CLIN-LLM, a novel hybrid framework designed to improve clinical diagnosis and treatment generation while prioritizing safety. This system integrates multimodal patient data, uncertainty-calibrated disease classification, and retrieval-augmented treatment recommendations. CLIN-LLM achieved 98% accuracy in diagnosis and significantly reduced unsafe antibiotic suggestions compared to GPT-5, demonstrating its potential as a deployable decision support tool for healthcare settings. AI
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IMPACT Offers a safer, more accurate AI-driven decision support system for clinical diagnosis and treatment, particularly in resource-limited environments.
RANK_REASON This is a research paper detailing a new framework for clinical diagnosis and treatment generation.