AI RESEARCH
MedFM-Robust: Benchmarking Robustness of Medical Foundation Models
arXiv CS.CV
•
ArXi:2605.19027v1 Announce Type: new Medical foundation models (MedFMs) have emerged as transformative tools in healthcare, nstrating capabilities across diverse clinical applications. These models can be broadly categorized into two paradigms: Medical Vision-Language Models (Med-VLMs) and segmentation foundation models. Med-VLMs range from medical-specialized models such as LLaVA-Med and MedGemma, to general-purpose models like GPT-4o and Gemini, all capable of medical image understanding tasks including visual question answering (VQA), report generation, and visual grounding.