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Reverse Spatio-Temporal Disease Progression Modelling

arXiv · AI, language, vision and robotics · article · Sep 13, 2026 · UTC

Deep learning-based spatio-temporal disease progression models commonly overlook the incubation period of progressive diseases, limiting the use of those models in early interventions, which are vital for not easily reversible diseases such as Alzheimer's. This is because, the existing deep learning based longitudinal disease-progression models are almost always run forward: from an observed baseline they predict future decline. In many clinical settings, however, imaging begins only after pathology is suspected or already visible, the earlier, healthier patient-specific reference was never ac

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Evidence & attribution

First collected: 2026-09-20T12:21:05.240Z. This is not the publication date.