Do explainable AI (XAI) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading

Do explainable AI (XAI) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading

Abstract This work aimed to evaluate both the usefulness and user acceptance of five gradient‐based explainable artificial intelligence (XAI) methods in the use case of a prostate carcinoma clinical decision support system environment. In addition, we aimed to determine whether XAI helps to increase...

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Bibliographic Details
Main Authors: Robin Manz, Jonas Bäcker, Samantha Cramer, Philip Meyer, Dominik Müller, Anna Muzalyova, Lukas Rentschler, Christoph Wengenmayr, Ludwig Christian Hinske, Ralf Huss, Johannes Raffler, Iñaki Soto‐Rey
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:The Journal of Pathology: Clinical Research
Subjects:
explainable artificial intelligence
artificial intelligence
evaluation
Gleason score
prostate carcinoma
pathology
Online Access:https://doi.org/10.1002/2056-4538.70023
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https://doi.org/10.1002/2056-4538.70023

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