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Physics-Informed AI Framework Enables Generalizable and Reliable Cerebrovascular Hemodynamic Profiling

2026-07-16

Abstract excerpt

<title>Abstract</title> <p> Accurate spatio-temporal profiling of cerebrovascular hemodynamics is essential for neurovascular disease management. However, clinical translation of artificial intelligence in this domain is severely bottlenecked by the "sim-to-real" gap: models trained on idealized <italic>in silico</italic> data struggle to adapt to the highly variable and complex vascular anatomies of real-worl...

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Literature Corpus work
7a2059e1-01a1-5b34-b7a1-708da1d047ae
DOI
10.21203/rs.3.rs-9990730/v1
Open publication

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Physics-Informed AI Framework Enables Generalizable and Reliable Cerebrovascular Hemodynamic ProfilingDOI 10.21203/rs.3.rs-9990730/v1
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