Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan

Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan

Abstract Hematoma expansion (HE) is a modifiable risk factor and a potential treatment target in patients with intracerebral hemorrhage (ICH). We aimed to train and validate deep-learning models for high-confidence prediction of supratentorial ICH expansion, based on admission non-contrast head Comp...

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Bibliographic Details
Main Authors: Anh T. Tran, Tal Zeevi, Stefan P. Haider, Gaby Abou Karam, Elisa R. Berson, Hishan Tharmaseelan, Adnan I. Qureshi, Pina C. Sanelli, David J. Werring, Ajay Malhotra, Nils H. Petersen, Adam de Havenon, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01007-w

Internet

https://doi.org/10.1038/s41746-024-01007-w

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