Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics

Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics

(1) Background: Predicting hospitalization length for COVID-19 patients is crucial for optimizing resource allocation and patient management. Radiomics, combined with machine learning (ML), offers a promising approach by extracting quantitative imaging features from CT scans. The aim of the present...

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Main Authors: Lorenzo Fantechi, Federico Barbarossa, Sara Cecchini, Lorenzo Zoppi, Giulio Amabili, Mirko Di Rosa, Enrico Paci, Daniela Fornarelli, Anna Rita Bonfigli, Fabrizia Lattanzio, Elvira Maranesi, Roberta Bevilacqua
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Bioengineering
Subjects:
radiomics
CT image
hospitalization stay
machine learning
older adults
Online Access:https://www.mdpi.com/2306-5354/12/4/368
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