From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction

In three linesUnified framework for disease trajectory modeling in clinical AI, integrating factual forecasting, counterfactual estimation, and policy evaluation. Addresses treatment assignment bias, time-varying confounding, and observation bias to transform static predictions into treatment-sensitive dynamic estimates.

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