A multimodal ResNet-LSTM using chest X-rays, EHRs, and ECGs achieves AUROC 0.86 for T2DM screening, but the evaluation leaks patients across train/test splits.
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Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records
A multimodal ResNet-LSTM using chest X-rays, EHRs, and ECGs achieves AUROC 0.86 for T2DM screening, but the evaluation leaks patients across train/test splits.