AI RESEARCH
X-WIN: Building Chest Radiograph World Model via Predictive Sensing
arXiv CS.CV
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ArXi:2511.14918v2 Announce Type: replace Chest X-ray radiography (CXR) is an essential medical imaging technique for disease diagnosis. However, as 2D projectional images, CXRs are limited by structural superposition and hence fail to capture 3D anatomies. This limitation makes representation learning and disease diagnosis challenging. To address this challenge, we propose a novel CXR world model named X-WIN, which distills volumetric knowledge from chest computed tomography (CT) by learning to predict its 2D projections in latent space.