AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs

AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs

Abstract Background Despite the potential clinical utility for acute ischemic stroke patients, predicting short-term operational outcomes like length of stay (LOS) and long-term functional outcomes such as the 90-day Modified Rankin Scale (mRS) remain a challenge, with limited current clinical guida...

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Bibliographic Details
Main Authors: Emily Wittrup, John Reavey-Cantwell, Aditya S. Pandey, Dennis J. Rivet II, Kayvan Najarian
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Imaging
Subjects:
Acute ischemic stroke
Resnet
Autoencoder
Deep learning
Artificial intelligence
MRI
Online Access:https://doi.org/10.1186/s12880-025-01864-1
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https://doi.org/10.1186/s12880-025-01864-1

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