The State of the Art of Artificial Intelligence Applications in Eosinophilic Esophagitis: A Systematic Review

The State of the Art of Artificial Intelligence Applications in Eosinophilic Esophagitis: A Systematic Review

Introduction: Artificial intelligence (AI) tools are increasingly being integrated into computer-aided diagnosis systems that can be applied to improve the recognition and clinical and molecular characterization of allergic diseases, including eosinophilic esophagitis (EoE). This review aims to syst...

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Váldodahkkit: Martina Votto, Carlo Maria Rossi, Silvia Maria Elena Caimmi, Maria De Filippo, Antonio Di Sabatino, Marco Vincenzo Lenti, Alessandro Raffaele, Gian Luigi Marseglia, Amelia Licari
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2024-07-01
Ráidu:Big Data and Cognitive Computing
Fáttát:
artificial intelligence
big data
deep learning
eosinophilic esophagitis
machine learning
Liŋkkat:https://www.mdpi.com/2504-2289/8/7/76

Interneahtta

https://www.mdpi.com/2504-2289/8/7/76

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