This paper is in the following e-collection/theme issue:

Artificial Intelligence (2247) Ethical, Legal, and Social Issues in AI (112) Pathology and Laboratory Medicine (33) AI applications in genomics and pathology informatics, including ‘Generative AI’ (24) Physician and Health Services Rating by Consumers (141) Computer-Aided Diagnosis (268)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59591, first published .
Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

Authors of this article:

Claire Lewis1 Author Orcid Image ;   Jenny Groarke2 Author Orcid Image ;   Lisa Graham-Wisener3 Author Orcid Image ;   Jacqueline James1 Author Orcid Image
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Journals

  1. Cen J, Ge S, Zhou Y, Li Y, Guo Z, Peng R, Liu Y, Zhou S, Xu S, Zhao S, Liu D. General Pathologists Achieve Near-Specialist Diagnostic Performance Using Deep Learning-Based Virtual Staining for Donor Kidney Assessment: A Retrospecstive-Prospective Diagnostic Concordance Study. Laboratory Investigation 2026:106077 View