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MedVersa: A Generalist Foundation Model for Medical Image Interpretation

arXiv 2405.07988 ↗First posted 13 May 2024cs.CVcited by 38

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Abstract (arXiv)

Current medical AI systems are often limited to narrow applications, hindering widespread adoption. We present MedVersa, a generalist foundation model trained on tens of millions of compiled medical instances. MedVersa unlocks generalist learning from multimodal inputs and outputs, representing the first example of a generalist model reaching competitive performance with leading specialized solutions across a variety of medical imaging scenarios. MedVersa achieves state-of-the-art performance in nine tasks, sometimes outperforming counterparts by over 10%. Radiologist evaluation shows MedVersa-generated reports get superior performance in 95% of normal studies, while matching or exceeding human reports in 71% of cases overall. User studies showed notable reductions in report writing time and discrepancies with the use of MedVersa. Our findings underscore the value of flexible, multimodal AI systems in advancing medical image interpretation and supporting clinical expertise.

Key facts. Cited by 38 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 May 2024.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 10; 2025: 17; 2026: 11.

38 papers.

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  1. 2024MAIRA-2: Grounded Radiology Report Generationcited by 145
  2. 2025Visual Large Language Models for Generalized and Specialized Applicationscited by 36
  3. 2024Libra: Leveraging Temporal Images for Biomedical Radiology Analysiscited by 29
  4. 2025ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reportscited by 27
  5. 2024Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Taskscited by 24
  6. 2024RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Modelscited by 16
  7. 2025Automated Structured Radiology Report Generationcited by 15
  8. 2025Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generationcited by 13
  9. 2025RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injectioncited by 13
  10. 2024ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reportscited by 9
  11. 2026Scaling medical imaging report generation with multimodal reinforcement learningcited by 9
  12. 2024From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practicecited by 8
26 more
  1. 2025DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generationcited by 8
  2. 2025Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretationcited by 8
  3. 2024Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphscited by 7
  4. 2024Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?cited by 7
  5. 2024MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Modelscited by 7
  6. 2024A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Datacited by 6
  7. 2026A unified multi-task framework enables interpretable chest radiograph analysiscited by 6
  8. 2026A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretationcited by 5
  9. 2025EditGRPO: Reinforcement Learning with Post-Rollout Edits for Clinically Accurate Chest X-Ray Report Generationcited by 4
  10. 2025Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generationcited by 3
  11. 2025A Review of Longitudinal Radiology Report Generation: Dataset Composition, Methods, and Performance Evaluationcited by 3
  12. 2026Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learningcited by 3
  13. 2026MedCTA: A Benchmark for Clinical Tool Agentscited by 3
  14. 2025Online Iterative Self-Alignment for Radiology Report Generationcited by 2
  15. 2025Boosting Medical Visual Understanding From Multi-Granular Language Learningcited by 2
  16. 2025Foundation Models in Biomedical Imaging: Turning Hype into Realitycited by 2
  17. 2026A data- and compute-efficient chest X-ray foundation model beyond aggressive scalingcited by 2
  18. 2026Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answeringcited by 2
  19. 2025Generalised Medical Phrase Groundingcited by 1
  20. 2025RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generationcited by 0
  21. 2025APRIL: Annotations for Policy evaluation with Reliable Inference from LLMscited by 0
  22. 2025Comparative Evaluation of Generative AI Models for Chest Radiograph Report Generation in the Emergency Departmentcited by 0
  23. 2026Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotationcited by 0
  24. 2026VectraYX-Vision-1B: A Sub-2B Spanish/LATAM Cybersecurity Vision-Language Model with Structured Visual Reasoning and Native Tool Usecited by 0
  25. 2026RadFusion: Towards Threshold-Controllable Radiology Report Generationcited by 0
  26. 2026CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretationcited by 0