paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Multi-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)
Background: Disease severity is a multidimensional construct difficult to capture with rule-based approaches in Electronic Healthcare Records (EHR). Agentic large language model (LLM) systems could synthesise clinical evidence and reason over EHRs, but remain unevaluated for this task. Methods: MOSAIC is a two-phase agentic LLM framework for severity phenotyping, using type 2 diabetes (T2D) as a proof-of-concept. MOSAIC was evaluated on a synthetic cohort (SyntheticMass; open-weight N = 4,886; closed-weight N = 200) against three algorithmic ground truths (DCSI, DiSSCo, Cooper) and against all
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newsClinician Use of a General-Purpose Large Language Model in Hospital Medicine: A Mixed-Methods Pilot Study - CureuspersonManuela Del Castillo SueropersonNicole Sonne HeckmannnewsA Medical Large Language Model-Based System Improves History-Taking Performance Among Medical Students - CureusnewsClinical drug report generation using multi-phase prompt large language models - NaturenewsBenchmarking large language models against practicing clinicians on psychopathological assessment - NaturenewsEvidence, use cases, and implementation safeguards of large language models in primary care - NaturenewsEmbracing Large Language Models for Medical Applications, Part II: Building a Framework for Clinical Stewardship - CureusnewsLarge language models exhibit stigmatizing behaviour in contextual judgements of health conditions - NaturenewsTowards AI-augmented decision making in psychiatrypersonMaurizio SessanewsAddressing benchmarking gaps in large language models for health and medicine with dynamic red-teaming - Naturerepotyang816/Awesome-TCM-LLMnewsLarge language models for interpretation of health checkup results - NaturerepoEmo-gml/Awesome-Mental-Health-LLMsnewsPerformance of large language models as a source of clinical information on bacteriophage therapy - NaturenewsSmall language models in medicine - NaturenewsAI Model Predicts 348 Diseases from Electronic Health Record, Genetics - Inside Precision MedicinepersonArnault-Quentin VermilletnewsA knowledge-enhanced domain-aware large language model agent for atrial fibrillation management - NaturepersonDarmendra RamcharrannewsCo-pilot, Not Autopilot: A Practical Method for Using Large Language Models in Interventional Cardiology - EMJnewsThe Parallel Consultation: A Literature Review of Patient Use of Large Language Models and Its Implications for Psychiatric Clinical Decision-Making - Cureus