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Research questionHow can vision-language models standardize raw, heterogeneous clinical data before medical inference?Clinical data often arrives across varied image formats, text sources, annotation formats, and directory layouts rather than as ready-made image-text inputs. Identifying, converting, extracting, and correctly pairing these fragments is a prerequisite for downstream medical inference.
AI
Computer Vision
Evaluation & Benchmarks
Health
Multimodal Models
Latest papersRecent research connected to this question, newest first.Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data?The benchmark evaluates VLMs on raw medical dataset folders: identifying source formats, converting medical images into compatible visual inputs, extracting relevant text, and organizing image-text pairs. It covers 1,939 tasks spanning clinical practice, radiology modalities, annotation formats, and directory layouts; the reported best end-to-end success rate is 48.6%.research paper · Sep 4, 2026
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