Medical LLMs

LLM: Large Language Model

Overview

Medical large language models are studied for tasks such as diagnosis, clinical coding, note summarization, triage, and patient communication. Common approaches include clinical pretraining and fine-tuning, retrieval-augmented generation with guidelines or knowledge graphs, tool-using agents, and multimodal models that combine text with images or structured records. Evaluation ranges from question-answering benchmarks to realistic consultations, EHR workflows, and clinician studies, with growing attention to calibration, privacy, bias, and evidence grounding. A central challenge is that strong scores on fixed tests do not ensure reliable behavior with incomplete or changing information, misleading patient input, or high-stakes decisions, so human oversight and real-world validation remain important.

Latest papers

CardsList

402 papers40 papers in the last four weeks, up 29% on the four weeks before. 0.2% of all new papers.

  1. Enhancing LLM Medical Coding with Structured External Knowledge

    Apr 9, 2026Yidong Gan, David D. Nguyen, Yang Lin +4Automated Medical CodingMedical LLMs

  2. Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models

    Apr 9, 2026Ziyi Chen, Yasir Khan, Mengyuan Zhang +7Clinical NLPMedical LLMs

  3. Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction

    Apr 8, 2026Mingchen Li, Jiatan Huang, Zonghai Yao +1Memory-Augmented Language ModelsMedical LLMs

  4. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus

    Apr 8, 2026Aidan Mannion, Cécile Macaire, Armand Violle +5Domain-Adaptive PretrainingDomain Adaptation for LLMs

  5. Severity-Aware Weighted Loss for Arabic Medical Text Generation

    Apr 7, 2026Ahmed Alansary, Molham Mohamed, Ali HamdiMedical LLMsText Generation

  6. CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs

    Apr 7, 2026Elham Nasarian, Abhilash Neog, Kwok-Leung Tsui +1LLM GuardrailsLLM Safety

  7. From Retinal Evidence to Safe Decisions: RETINA-SAFE and ECRT for Hallucination Risk Triage in Medical LLMs

    Apr 7, 2026Zhe Yu, Wenpeng Xing, Meng HanHallucination DetectionLLM Hallucination Detection

  8. Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives

    Apr 6, 2026Ziyi Chen, Mengxian Lyu, Cheng Peng +1Medical LLMsClinical Language Model Evaluation

  9. This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA

    Apr 6, 2026Hye Sun Yun, Geetika Kapoor, Michael Mackert +4Framing Effects in Language ModelsMedical LLMs

  10. Countering Catastrophic Forgetting of Large Language Models for Better Instruction Following via Weight-Space Model Merging

    Apr 2, 2026Mengxian Lyu, Cheng Peng, Ziyi Chen +3Domain Adaptation for LLMsMedical LLMs

  11. Learning Diagnostic Reasoning for Decision Support in Toxicology

    Mar 31, 2026Nico Oberländer, David Bani-Harouni, Tobias Zellner +3Clinical Decision SupportRL for Language Model Reasoning

  12. An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication -- A scoping review

    Mar 30, 2026Zaifu Zhan, Yu Hou, Kai Yu +4Medical LLMsHealthcare

  13. DongYuan: An LLM-Based Framework for Integrative Chinese and Western Medicine Spleen-Stomach Disorders Diagnosis

    Mar 30, 2026Hua Li, Yingying Li, Xiaobin Feng +8Medical DiagnosisMedical LLMs

  14. Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa

    Mar 28, 2026Thokozile Khosa, Olawande DaramolaMedical LLMsHealthcare

  15. Phase 1 Implementation of LLM-generated Discharge Summaries showing high Adoption in a Dutch Academic Hospital

    Mar 27, 2026Nettuno Nadalini, Tarannom Mehri, Anne H Hoekman +6Medical Report GenerationMedical LLMs

  16. Clinical named entity recognition in the Portuguese language: a benchmark of modern BERT models and LLMs

    Mar 27, 2026Vinicius Anjos de Almeida, Sandro Saorin da Silva, Josimar Chire +8Named Entity RecognitionClinical NLP

  17. Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models

    Mar 27, 2026Mikko Saukkoriipi, Nicole Hernandez, Jaakko Sahlsten +2EHR QAClinical QA

  18. When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models

    Mar 26, 2026Binesh Sadanandan, Vahid BehzadanPrompt SensitivityLLM Prompting

  19. AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study

    Mar 26, 2026Wenlong Hou, Sheng Bi, Guangqian Yang +16Alzheimer's Disease ClassificationClinical Decision Support

  20. A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations

    Mar 26, 2026Andong Tan, Shuyu Dai, Jinglu Wang +7Clinical Language Model EvaluationMedical LLMs

  21. OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs

    Mar 26, 2026Suraj Racha, Prashant Harish Joshi, Utkarsh Maurya +6Medical LLMsLLM Fine-Tuning

  22. Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

    Mar 25, 2026Mohammed Nowshad Ruhani Chowdhury, Mohammed Nowaz Rabbani Chowdhury, Sakari LukkarinenLLM Fine-TuningMedical LLMs

  23. MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare

    Mar 25, 2026Shubham Kumar Nigam, Suparnojit Sarkar, Piyush PatelMedical LLMsText Generation

  24. VOLMO: Versatile and Open Large Models for Ophthalmology

    Mar 25, 2026Zhenyue Qin, Younjoon Chung, Elijah Lee +16Medical VLMsMedical LLMs

  25. Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development

    Mar 25, 2026Zongliang Ji, Ziyang Zhang, Xincheng Tan +5Clinical Decision SupportEvidence-Grounded Generation

  26. PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation

    Mar 24, 2026Manjushree B. Aithal, Ph. D., Alexander Kotz +2Clinical NLPPrivacy-Preserving Language Models