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38 papers in the last four weeks, up 41% on the four weeks before. 0.3% of all new papers.

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MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation
Aug 21, 2025Fangxin Shang, Yuan Xia, Dalu Yang +2VLM Evaluation Healthcare
Baidu Inc., China
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
Aug 19, 2025Hongxin Ding, Baixiang Huang, Yue Fang +8RL for Language Models Healthcare
National Engineering Research Center of Software Engineering, Peking University, China · School of Computing and Data Science, The University of Hong Kong · School of Computer Science, Peking University, Beijing, China +2
Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming
Jul 30, 2025Jiazhen Pan, Bailiang Jian, Paul Hager +20LLM Safety Benchmarks Language Model Safety Evaluation
Cherise · School of Computation, Information and Technology, Technical University of Munich (TUM), Munich, Germany · Department of Engineering Science, University of Oxford, Oxford, United Kingdom +9
HarmReduction: Benchmarking LLMs in Harm Reduction Information Provision to Support People Who Use Drugs
Jul 29, 2025Kaixuan Wang, Chenxin Diao, Jason T. Jacques +2Healthcare Question Answering
University of Oxford, United Kingdom · University of Edinburgh, United Kingdom · University of St Andrews, United Kingdom +1
PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data
Jul 26, 2025Aishwarya Mandyam, Jason Meng, Ge Gao +4Off-Policy Evaluation Healthcare
Stanford University · Gladstone Institutes · Stanford University[cs.LG]
Instance Generation for Patient-to-room Assignment and Admission Scheduling Based on Real Hospital Data
Jul 4, 2025Tabea Brandt, Christina Büsing, Johanna Leweke +2Healthcare Dynamic Programming
Chair of Combinatorial Optimization, RWTH Aachen University, Im Süsterfeld 9, 52072 Aachen, Germany · Chair of Algorithms and Complexity, RWTH Aachen University, Ahornstraße 55, 52074 Aachen, Germany
Discovering Hierarchy-Grounded Domains with Adaptive Granularity for Clinical Domain Generalization
Jun 8, 2025Pengfei Hu, Xiaoxue Han, Fei Wang +1Healthcare Domain Generalization
School of Computing Stevens Institute of Technology Hoboken, New Jersey, United States · Weill Cornell Medicine Cornell University New York, New York, United States
Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI
May 28, 2025Santhosh Parampottupadam, Melih Coşğun, Sarthak Pati +7Federated Learning Aggregation Differentially Private Stochastic Gradient Descent
German Cancer Research Center (DKFZ), Division of Medical Image Computing, Heidelberg, Germany · Department of Computer Engineering, Bilkent University, Universiteler 06800 Çankaya/Ankara, Türkiye · Medical Research Group, MLCommons, San Francisco, CA, USA +2
Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets
May 27, 2025Alexander Jaus, Zdravko Marinov, Constantin Seibold +4Image Segmentation Medical Imaging Foundation Models
Karlsruhe Institute of Technology, Germany · HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany · Diagnostic and Interventional Radiology, Heidelberg University Hospital +1
UniReg: Conditional Unified Model for Medical Image Registration
Mar 17, 2025Zi Li, Jianpeng Zhang, Tai Ma +7Healthcare Medical Image Registration
Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China · DAMO Academy, Alibaba Group · The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China +1
Histopathology Multi-modal Embedding for Pathology Composed Retrieval
Feb 11, 2025Qifeng Zhou, Wenliang Zhong, Thao M. Dang +4Computational Pathology Healthcare
The University of Texas at Arlington, Arlington TX 76010, USA
Learning Personalized Prompts for Healthcare Guidance
Dec 20, 2024Ruize Shi, Hong Huang, Wei Zhou +3Prompt Learning LLM Personalization
Huazhong University of Science and Technology, Wuhan, China · 1Huazhong University of Science and Technology, Wuhan, China · 2Tongji Medical College +1
How Well Can Modern LLMs Act as Agent Cores in Radiology Environments?
Dec 12, 2024Qiaoyu Zheng, Chaoyi Wu, Weike Zhao +5Healthcare LLM Agent Evaluation
Shanghai Jiao Tong University, Shanghai, China · Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
MultiViewDx: Evidence-Linked Multi-View Clinical Diagnosis
Oct 19, 2024Junda Wang, Zonghai Yao, Yujan Ting +5Healthcare Medical Image Analysis
United Imaging Intelligence, MA, USA · Manning College of Information and Computer Sciences, University of Massachusetts Amherst, MA, USA · Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA +1
Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure
Mar 18, 2024Ziyi Chen, Mengyuan Zhang, Mustafa Mohammed Ahmed +4Healthcare Oncology
Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA · Division of Cardiovascular Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, USA · Division of Hematology & Oncology, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, USA
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering
Mar 7, 2024Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda +5Healthcare Medical Diagnosis
2Indian Institute of Technology Bombay · 1IBM Research
MedGEN-Bench: A Contextually Entangled Benchmark for Open-ended Multimodal Medical Generation
Date pendingJunjie Yang, Yuhao Yan, Gang Wu +12Healthcare Multimodal Generation
South China University of Technology · Sun Yat-sen University · Hangzhou Dianzi University +10
Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation
Date pendingZhiyao Ren, Yibing Zhan, Siyuan Liang +3Healthcare Clinical Reasoning
Nanyang Technological University, Singapore, Singapore. · Wuhan University, Wuhan, China.
MedCollab: IBIS-Guided Multi-Agent Collaboration with Hierarchical Disease Relation Chains for Clinical Diagnosis
Date pendingYuqi Zhan, Xinyue Wu, Tianyu Lin +6Multi-Agent LLM Systems Medical Report Generation
Hangzhou Dianzi University · Zhejiang University · Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents’ Health and Diseases
VeriSim: A Configurable Framework for Stress-Testing Medical AI Under Patient Communication Noise
Date pendingSina Mansouri, Mohit Marvania, Vibhavari Ashok Shihorkar +5Healthcare LLM Reliability
Department of Computer Science, George Mason University · Department of Health Administration and Policy, College of Public Health, George Mason University · Department of Science, George Mason University
Representation Before Training: A Practical Benchmark for Generative Medical Event Model Tokenization
Date pendingInhyeok Lee, Luke Solo, Michael C. Burkhart +5Healthcare Predictive Representation Learning
University of Chicago
SafeImpute: Reliable Clinical Data Imputation via Conformal Selection
Date pendingXinrui He, Mengting Ai, Junting Wang +2Time Series Imputation Incomplete Data Imputation
University of Illinois Urbana-Champaign Champaign, IL, USA · Mayo Clinic Scottsdale, AZ, USA
Slot2Text: Object-Centric Visual Tokenization for Efficient and Spatially Traceable Surgical MLLMs
Date pendingGuiqiu Liao, Matjaz Jogan, Daniel A. HashimotoImage Tokenization Healthcare
GRASP Laboratory, University of Pennsylvania · PCASO Laboratory, Department of Surgery, University of Pennsylvania · Department of Computer and Information Science, University of Pennsylvania

Aug 21, 2025, cs.CVJ/K move · Enter open · S save

MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation

Fangxin Shang, Yuan Xia, Dalu Yang, Yahui Wang+1

Baidu Inc., China

VLM Evaluation Healthcare Clinical Information Extraction Document Image Understanding

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Medical report understanding from real-world document images is essential for generating patient-facing explanations and enabling structured information exchange in clinical systems. Existing VLMs and LLMs have shown strong performance on document understanding, but structured understanding of medical reports remains insufficiently benchmarked. Therefore, we introduce MedRepBench, a benchmark with 1,925 de-identified Chinese medical report images spanning diverse departments, patient demographics, and acquisition formats. In MedRepBench, we mainly focus on report-grounded interpretation rather than evaluating diagnostic reasoning, treatment recommendation, or the integration of patient history. The interpretation is defined as structured extraction of report fields (e.g., item, value, unit, reference range, abnormal flag) plus a patient-facing explanation grounded strictly in the report content. The benchmark primarily evaluates end-to-end VLMs, and also includes a controlled text-only setting (high-quality OCR + LLM) to approximate an upper bound when character recognition errors are minimized. Our evaluation framework provides two complementary protocols: (1) an objective protocol measuring field-level recall of structured items, and (2) an automated subjective protocol that uses an LLM-based judge to score factuality, interpretability, and reasoning quality under a fixed prompt. Using the objective metric as a reward signal, we also provide a lightweight GRPO-based alignment baseline for a mid-sized VLM, which improves field-level recall by up to 6%. Finally, we analyze practical limitations of OCR+LLM pipelines, including layout-related errors and additional system latency, showing the need for robust end-to-end vision-based medical report understanding. The dataset and evaluation resources are publicly available on https://huggingface.co/datasets/MedRepBench/MedRepBench.