Clinical Language Model Evaluation

Overview

Clinical language model evaluation asks whether models can answer medical questions, interpret records, support conversations, and assist with decisions without causing harm. Researchers use exam-style benchmarks, clinician-authored rubrics, electronic health records, simulated consultations, and tests that vary language, missing information, patient behavior, or evidence; they also compare expert ratings with automated judges. Evaluation increasingly measures safety, omissions, evidence grounding, uncertainty, consistency, and workflow performance alongside accuracy. A central challenge is that strong scores on static tests or plausible reasoning may not transfer to dynamic, incomplete clinical encounters, while automated judges can disagree with clinicians and require validation.

Latest papers

CardsList

419 papers49 papers in the last four weeks, up 2% on the four weeks before. 0.3% of all new papers.

  1. Multilingual Cognitive Impairment Detection in the Era of Foundation Models

    Apr 8, 2026Damar Hoogland, Boshko Koloski, Jaya Caporusso +5Speech-Based Dementia DetectionClinical Language Model Evaluation

  2. FMI@SU ToxHabits: Evaluating LLMs Performance on Toxic Habit Extraction in Spanish Clinical Texts

    Apr 7, 2026Sylvia Vassileva, Ivan Koychev, Svetla BoytchevaClinical Information ExtractionNamed Entity Recognition

  3. A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models

    Apr 7, 2026Maria Mahbub, Gregory M. Dams, Josh Arnold +9Clinical Information ExtractionClinical Language Model Evaluation

  4. Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation

    Apr 7, 2026Abdullah Mazhar, Het Riteshkumar Shah, Aseem Srivastava +2Clinical Language Model EvaluationLLM Evaluation

  5. CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions

    Apr 7, 2026Akshat Dasula, Prasanna Desikan, Jaideep Srivastava +2LLM AuditingClinical Language Model Evaluation

  6. 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

  7. 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

  8. Benchmarking Multi-turn Medical Diagnosis: Hold, Lure, and Self-Correction

    Apr 6, 2026Jinrui Fang, Runhan Chen, Xu Yang +9Clinical Language Model EvaluationMedical Diagnosis

  9. A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework

    Apr 3, 2026Chenyu Li, Zohaib Akhtar, Mingu Kwak +13LLM-as-a-JudgeClinical Language Model Evaluation

  10. Is Clinical Text Enough? A Multimodal Study on Mortality Prediction in Heart Failure Patients

    Apr 2, 2026Oumaima El Khettari, Virgile Barthet, Guillaume Hocquet +3Mortality PredictionMultimodal Fusion

  11. Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study

    Mar 31, 2026Zaifu Zhan, Mengyuan Cui, Rui ZhangLLM Self-CorrectionLLM Reliability

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

    Mar 28, 2026Thokozile Khosa, Olawande DaramolaMedical LLMsHealthcare

  13. 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

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

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

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

    Mar 26, 2026Binesh Sadanandan, Vahid BehzadanPrompt SensitivityLLM Prompting

  16. Same Verdict, Different Reasons: LLM-as-a-Judge and Clinician Disagreement on Medical Chatbot Completeness

    Mar 26, 2026Alexandra DeLucia, Heyuan Huang, Sonal Joshi +3LLM-as-a-JudgeLLM Reliability

  17. Doctorina MedBench: A Dialogue-Based Benchmark and Evaluation Framework for Agent-Based Medical AI

    Mar 26, 2026Anna Kozlova, Stanislau Salavei, Pavel Satalkin +3Medical AI AgentsAI Agent Benchmarks

  18. 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

  19. 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

  20. 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

  21. Using LLM-as-a-Judge/Jury to Advance Scalable, Clinically-Validated Safety Evaluations of Model Responses to Users Demonstrating Psychosis

    Mar 20, 2026May Lynn Reese, Markela Zeneli, Mindy Ng +3LLM SafetyLLM Safety Evaluation

  22. Blending Human and LLM Expertise to Detect Hallucinations and Omissions in Mental Health Chatbot Responses

    Mar 17, 2026Khizar Hussain, Bradley A. Malin, Zhijun Yin +2Language Model Error DetectionHallucination Detection

  23. Medical Reasoning with Large Language Models: A Survey and MR-Bench

    Mar 17, 2026Xiaohan Ren, Chenxiao Fan, Wenyin Ma +4Medical ReasoningClinical Reasoning