DreamReg is a world-model framework that refines 2D-3D US registration by maintaining and updating a latent belief state over probe trajectories via internal simulation of observations.
EHRWorld: A patient-centric medical world model for long-horizon clinical trajectories
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
CMWM is a recurrent latent world model for forecasting patient trajectories like annual eGFR in CKD, reporting 7.28% lower MAE than a tuned GPT-5.5 baseline on a 2232-patient cohort with gains from dialogue data.
A review proposing a unified framework for intervention-aware disease trajectory modeling in clinical AI, organized around three decision tasks and three data-generating mechanisms.
citing papers explorer
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DreamReg: Belief-Driven World Model for 2D-3D Ultrasound Registration
DreamReg is a world-model framework that refines 2D-3D US registration by maintaining and updating a latent belief state over probe trajectories via internal simulation of observations.
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ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data
CMWM is a recurrent latent world model for forecasting patient trajectories like annual eGFR in CKD, reporting 7.28% lower MAE than a tuned GPT-5.5 baseline on a 2232-patient cohort with gains from dialogue data.
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From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction
A review proposing a unified framework for intervention-aware disease trajectory modeling in clinical AI, organized around three decision tasks and three data-generating mechanisms.