Medical VLMs

VLM: Vision-Language Model

Overview

Medical vision-language models study how to link images such as X-rays, CT scans, pathology slides, and surgical videos with clinical language. Common approaches include CLIP-style image-text pretraining, adapting large multimodal language models with medical data, and adding region-level grounding, segmentation, or retrieval of clinical evidence. They are evaluated on tasks such as report generation on MIMIC-CXR, visual question answering on VQA-RAD and SLAKE, and volumetric CT or whole-slide pathology analysis. A central challenge is ensuring that answers genuinely use relevant visual evidence and remain calibrated under prompt changes, rare findings, and shifts between hospitals or populations.

Latest papers

CardsList

479 papers51 papers in the last four weeks, up 21% on the four weeks before. 0.3% of all new papers.

  1. Aligning Medical Vision Language Models at the Capability Boundary with Entropy Adaptive Rubric Grounding

    Oct 29, 2026Hongyu Bai, Jiaqi Zeng, Chunzheng ZhuMedical VLMsReasoning for VLMs

  2. Visually Irrelevant Hallucinations in Medical Vision-Language Models

    Oct 28, 2026Ke Zou, Nan Zhou, Tao Yang +9VLM HallucinationHallucination Detection in VLMs

  3. Knowledge-structured and evidence-aware semantic self-distillation for glomerular pathology foundation model

    Oct 28, 2026Qiming He, Jing Li, Zihan Wang +24Pathology Foundation ModelsMedical VLMs

  4. Evaluating Federated Vision-Language and Vision-Only Models for Privacy-Aware Breast Cancer Imaging

    Oct 26, 2026Malithi Mithsara Wanniarachchi Kankanamge, Ning Yang, Sree Bash Debnath +2Medical ImagingMammography Image Classification

  5. GRASP: Group-Adaptive Hybrid RL-SFT Post-Training for Medical VQA without Reasoning Annotations

    Oct 25, 2026Wanqi Dong, Wanyue Dong, Jingze Ge +1Medical VQAMedical VLMs

  6. Conviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models

    Oct 25, 2026Federico Felizzi, Francesco Andrea Causio, Bianca Destro Castaniti +17Medical VLMsVisual Evidence Sensitivity in VLMs

  7. MIS-VQA: An Annotation-Driven Surgical Vision-Language Dataset for Complex Surgical Understanding

    Oct 25, 2026Mohamed Hamdy, Iheb Zouari, Fatmaelzahraa Ahmed +6Medical VQASurgical Video Understanding

  8. Meta-CLIP: Metadata-Conditioned Contrastive Learning for Zero-Shot Disease Inference

    Oct 24, 2026Haozhe Luo, Nirosh Sivanesan, Shelley Zixin Shu +2Medical VLMsContrastive Learning for VLMs

  9. Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models

    Oct 23, 2026Dianye Huang, Jiamei Guo, Yue Zhou +5Medical Image AnalysisMedical VLMs

  10. Multimodal Generative AI Assists Comprehensive Echocardiographic Interpretation

    Oct 23, 2026Yi Qin, Marawan Elbatel, Shanshan Song +28EchocardiographyMedical VLMs

  11. A Visual Grounding Benchmark for Retinal OCT with Multimodal Large Language Models

    Oct 22, 2026Ronald Fecso, José Morano, Botond Fazekas +6Medical VLMsMedical Image Grounding

  12. Expandable Modality Experts for Medical Vision-Language Learning

    Oct 21, 2026DM BAPPY, Eunsu Kim, Hanjoo Lee +2Medical VLMsContinual Learning for VLMs

  13. Gated Prototype Transfer for Zero-Support Medical Vision Language Model

    Oct 20, 2026Sumaiya Fazal, Rizwan Qureshi, Laleh Behjat +1VLM AdaptationMedical VLMs

  14. CPVB-RG: Cross-Prior Visual Bridging for Prior-Aware Chest X-Ray Report Generation

    Oct 20, 2026Sike Xiang, Shuang Chen, Julie Cox +1Radiology Report GenerationMedical VLMs

  15. Reliability-Guided Vision-Language Decoding with Text-Aware Skip Refinement for Medical Image Segmentation

    Oct 20, 2026Sivan Talaei, Fatemeh Daneshfar, Abdulhady Abas Abdullah +1Medical VLMsMedical Image Segmentation

  16. Beyond the Evidence Boundary: Behavioral Mirage Under Progressive Degradation in Medical VLMs

    Oct 20, 2026Edric Castel C. Hao, Rez Samantha Z. FlorescaMedical VLMsVLM Robustness

  17. MMedAgent-Plus: Scaling Multimodal Medical Agents across Modalities, Tasks and Workflows

    Oct 19, 2026Ruoxin Wang, Yuanting Pan, Binxu Li +13Medical AI AgentsTool-Using Vision-Language Agents

  18. What Language Adds, and at What Cost: Four Controlled Probes of Pathology Vision-Language Models

    Oct 19, 2026Wenhao Zhang, Zhongliang Zhou, Yi Ping +2Medical VLMsVLM Evaluation

  19. ViCoR: Estimating Visual Necessity via Counterfactual Residuals for Multimodal Medical Data Selection

    Oct 18, 2026Haotian Gan, Yudong Li, Xintian Li +2Medical VLMsVLM Robustness

  20. Enhancing RAG-based Medical VQA with Gated Multimodal Representations

    Oct 16, 2026Daniela Jimenez-Pano, Hugo Jair Escalante, Delia Irazú Hernández-FaríasGated Multimodal FusionMedical VQA

  21. When Evidence Vanishes: Distilling Visual-Evidence Dependency in Medical Vision-Language Models

    Oct 16, 2026Qizhen Lan, Yiling Ma, Ruiqi Chen +8Medical VLMsVisual Evidence Sensitivity in VLMs

  22. MedSTP: Preserving Subspace and Transition Evidence for Medical VQA Token Pruning

    Oct 15, 2026Mengchen Fan, Qizhen Lan, Xi Xiao +6Visual Token PruningMedical VQA

  23. Multimodal Medical Image Parsing with Task-Specific Low-Rank Adapters

    Oct 14, 2026Taha Sabir, Alberto Montero Molina, Thinh Quang Ly +3Medical Image AnalysisVLM Adaptation

  24. Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models

    Oct 13, 2026Sadif Ahmed, Soumya Swagata Biswas, Rifat Shahriyar +1Sycophancy in VLMsMedical VLMs

  25. Beyond Sparse Captions: Aligning Slide-Level Text and Patch-Level Vision in Pathology

    Oct 12, 2026Daniel Shao, Dongmin Bang, Luca L. Weishaupt +6Computational PathologyMedical VLMs

  26. X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning

    Oct 12, 2026Yi Wang, Zhenlong Yuan, Yuchan Guo +9Medical VLMsMedical Imaging

  27. ClinEdge: An Expert-Graded Benchmark of Real Patient Edge Cases Where Frontier Multimodal Models Fail

    Oct 11, 2026Anurag Sharma, Aditya Sharma, Sapna BaalwanMultimodal Model EvaluationMedical Image Benchmarks

  28. Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations

    Oct 10, 2026Jie Gui, Hang Tu, Yunfeng Dou +3Text-Guided Image SegmentationPromptable Image Segmentation