AI RESEARCH
DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System
arXiv CS.LG
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ArXi:2605.14227v1 Announce Type: new Accurate disease trajectory prediction is critical for early intervention, resource allocation, and improving long-term outcomes. While electronic health records (EHRs) provide a rich longitudinal view of patient health in clinical environments, models trained on curated research cohorts may not reflect routine deployment settings, and those trained on single-hospital datasets capture only fragments of each patient's trajectory. This highlights the importance of leveraging large, multi-hospital health systems for.