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. Assessing the Effectiveness of LLMs in Delivering Cognitive Behavioral Therapy

    Mar 4, 2026Navdeep Singh Bedi, Ana-Maria Bucur, Noriko Kando +1Clinical Language Model EvaluationMedical LLMs

  2. Benchmarking Motivational Interviewing Competence of Large Language Models

    Mar 4, 2026Aishwariya Jha, Prakrithi Shivaprakash, Lekhansh Shukla +3Clinical Language Model EvaluationMedical LLMs

  3. RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering

    Mar 3, 2026Aswini Sivakumar, Vijayan Sugumaran, Yao QiangRetrieval-Augmented GenerationRAG Evaluation

  4. Conformal Prediction for Risk-Controlled Medical Entity Extraction Across Clinical Domains

    Mar 1, 2026Manil Shrestha, Edward KimNamed Entity RecognitionLanguage Model Calibration

  5. Silent Sabotage During Fine-Tuning: Few-Shot Rationale Poisoning of Compact Medical LLMs

    Feb 28, 2026Jingyuan Xie, Wenjie Wang, Ji Wu +1Adversarial Attacks on LLMsLLM Security

  6. MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval

    Feb 28, 2026Shuheng Chen, Namratha Patil, Haonan Pan +4Case-Based ReasoningClinical Decision Support

  7. Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models

    Feb 28, 2026Mengxian Lyu, Cheng Peng, Ziyi Chen +3Text SummarizationMedical LLMs

  8. A medical coding language model trained on clinical narratives from a population-wide cohort of 1.8 million patients

    Feb 27, 2026Joakim Edin, Sedrah Butt Balaganeshan, Annike Kjølby Kristensen +3Automated Medical CodingMedical LLMs

  9. Toward Automatic Filling of Case Report Forms: A Case Study on Data from an Italian Emergency Department

    Feb 26, 2026Gabriela Anna Kaczmarek, Pietro Ferrazzi, Lorenzo Porta +2Clinical NLPClinical Information Extraction

  10. An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models

    Feb 23, 2026Cathy Shyr, Yan Hu, Rory J. Tinker +8Clinical Information ExtractionRare Disease Diagnosis

  11. Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming

    Feb 23, 2026Ian Steenstra, Paola Pedrelli, Weiyan Shi +2LLM Safety EvaluationClinical Language Model Evaluation

  12. Small LLMs for Medical NLP: a Systematic Analysis of Few-Shot, Constraint Decoding, Fine-Tuning and Continual Pre-Training in Italian

    Feb 19, 2026Pietro Ferrazzi, Mattia Franzin, Alberto Lavelli +1Small Language ModelsClinical NLP

  13. MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions

    Feb 19, 2026Hui Min Wong, Philip Heesen, Pascal Janetzky +2Information GainMedical LLMs

  14. LiveClin: A Live Clinical Benchmark without Leakage

    Feb 18, 2026Xidong Wang, Shuqi Guo, Yue Shen +6Clinical Language Model EvaluationMedical LLMs

  15. Assessing Large Language Models for Medical QA: Zero-Shot and LLM-as-a-Judge Evaluation

    Feb 16, 2026Shefayat E Shams Adib, Ahmed Alfey Sani, Ekramul Alam Esham +2Medical QAMedical LLMs

  16. An evidence-guided reinforcement learning method to improve psychiatric reasoning in small language models

    Feb 6, 2026Xinxin Lin, Guangxin Dai, Yi Zhong +25HealthcareMental Health

  17. LingLanMedBench: A Unified Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine

    Feb 2, 2026Rui Hua, Yu Wei, Zixin Shu +17Traditional Chinese MedicineMedical LLMs

  18. SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care

    Jan 23, 2026Dongshen Peng, Yi Wang, Austin Schoeffler +5LLM SycophancyLanguage Model Safety Evaluation

  19. Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation

    Jan 22, 2026Zhiyao Ren, Yibing Zhan, Siyuan Liang +3HealthcareClinical Reasoning

  20. Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation

    Jan 21, 2026Shovito Barua Soumma, Asiful Arefeen, Stephanie M. Carpenter +2Counterfactual ExplanationsLLM Fine-Tuning

  21. Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis

    Jan 6, 2026Choonghan Kim, Hyunmin Hwang, Hangeol Chang +4Clinical Outcome PredictionAlzheimer's Disease Progression Prediction

  22. Towards Explainable Conversational AI for Early Diagnosis with Large Language Models

    Dec 19, 2025Maliha Tabassum, M Shamim KaiserMedical DiagnosisConversational Agents

  23. Behavioral Coherence: A Method for Sensitive-Domain LLM Evaluation

    Dec 15, 2025Anika Sharma, Malavika Mampally, Chidaksh Ravuru +2Language Model Bias EvaluationDemographic Bias in Language Models

  24. Multilingual Medical Reasoning for Question Answering with Large Language Models

    Dec 5, 2025Pietro Ferrazzi, Aitor Soroa, Rodrigo AgerriKnowledge Augmentation for Language ModelsHealthcare

  25. Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning

    Nov 26, 2025Zhenchao Tang, Fang Wang, Haohuai He +13LLM AlignmentLLM Fine-Tuning

  26. MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support

    Nov 20, 2025Elias Hossain, Md Mehedi Hasan Nipu, Maleeha Sheikh +5Selective PredictionHealthcare