AI-derived CT biomarker score for robust COVID-19 mortality prediction across multiple waves and regions using machine learning

AI-derived CT biomarker score for robust COVID-19 mortality prediction across multiple waves and regions using machine learning

Abstract This study aimed to develop a simple, interpretable model using routinely available data for predicting COVID-19 mortality at admission, addressing limitations of complex models, and to provide a statistically robust framework for controlled clinical use, managing model uncertainty for resp...

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Bibliographic Details
Main Authors: Kristof De Smet, Dieter De Smet, Peter De Jaeger, Jannes Dewitte, Geert Antoine Martens, Nico Buls, Johan De Mey
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
COVID-19 mortality
Total lung involvement
Artificial intelligence
Machine learning
Prediction model
Likelihood ratio
Online Access:https://doi.org/10.1038/s41598-025-14667-9
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https://doi.org/10.1038/s41598-025-14667-9

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