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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11904816

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

About this item

Full title

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

Publisher

Hoboken, USA: John Wiley & Sons, Inc

Journal title

The journal of pathology. Clinical research, 2025-03, Vol.11 (2), p.e70023-n/a

Language

English

Formats

Publication information

Publisher

Hoboken, USA: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

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 the acceptance of artificial intelligence (AI) and recomme...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11904816

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11904816

Other Identifiers

ISSN

2056-4538

E-ISSN

2056-4538

DOI

10.1002/2056-4538.70023

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