Deep learning predicts BMD from knee radiographs with Pearson R=0.68 and conformal intervals that approximate nominal coverage, but anatomical mismatch and data limitations block clinical use.
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.JAMA, 316(22):2402–2410,
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Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
Deep learning predicts BMD from knee radiographs with Pearson R=0.68 and conformal intervals that approximate nominal coverage, but anatomical mismatch and data limitations block clinical use.