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An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)
8
Zitationen
19
Autoren
2024
Jahr
Abstract
An explainable and reliable CDSS tailored to single-patient analysis has been developed. The proposed AI-based system has the potential to be used alongside the clinical guidelines currently employed in the medical setting making them more personalized and dynamic and assisting doctors in taking their everyday clinical decisions.
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Autoren
- Karim Kassem
- Michela Sperti
- Andrea Cavallo
- Andrea Mario Vergani
- Davide Fassino
- Monica Moz
- Alessandro Liscio
- Riccardo Banali
- Fried-Michael Dahlweid
- Luciano Benetti
- Francesco Bruno
- Guglielmo Gallone
- Ovidio De Filippo
- Mario Iannaccone
- Fabrizio D’Ascenzo
- Gaetano Maria De Ferrari
- Umberto Morbiducci
- Emanuele Della Valle
- Marco A. Deriu