AI RESEARCH
Clinically Aware Synthetic Image Generation for Concept Coverage in Chest X-ray Models
arXiv CS.CV
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ArXi:2603.15525v1 Announce Type: new The clinical deployment of AI diagnostic models demands than benchmark accuracy - it demands robustness across the full spectrum of disease presentations. However, publicly available chest radiographic datasets systematically underrepresent critical clinical feature combinations, leaving models under-trained precisely where clinical stakes are highest. We present CARS, a clinically aware and anatomically grounded framework that addresses this gap through principled synthetic image generation.