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Making Pathologists Ready for the New Artificial Intelligence Era:changes in required competencies

Title: Making Pathologists Ready for the New Artificial Intelligence Era:changes in required competencies
Authors: Vos,Shoko; Hebeda,Konnie; Milota, Megan; Sand,Martin; Drogt, Jojanneke; Grünberg,Katrien; Jongsma, Karin; Medical Humanities Onderzoek Team 1; Medical Humanities Onderzoek Team 2; Bioethics & Health Humanities; Child Health; Regenerative Medicine and Stem Cells
Publication Year: 2025
Subject Terms: artificial intelligence; digital pathology; education; entrustable professional activities; ethics; histopathology; General Medicine
Description: In recent years, there has been an increasing interest in developing and using artificial intelligence (AI) models in pathology. Although pathologists generally have a positive attitude toward AI, they report a lack of knowledge and skills regarding how to use it in practice. Furthermore, it remains unclear what skills pathologists would require to use AI adequately and responsibly. However, adequate training of (future) pathologists is essential for successful AI use in pathology. In this paper, we assess which entrustable professional activities (EPAs) and associated competencies pathologists should acquire in order to use AI in their daily practice. We make use of the available academic literature, including literature in radiology, another image-based discipline, which is currently more advanced in terms of AI development and implementation. Although microscopy evaluation and reporting could be transferrable to AI in the future, most of the current pathologist EPAs and competencies will likely remain relevant when using AI techniques and interpreting and communicating results for individual patient cases. In addition, new competencies related to technology evaluation and implementation will likely be necessary, along with knowing one's own strengths and limitations in human-AI interactions. Because current EPAs do not sufficiently address the need to train pathologists in developing expertise related to technology evaluation and implementation, we propose a new EPA to enable pathology training programs to make pathologists fit for the new AI era “using AI in diagnostic pathology practice” and outline its associated competencies.
Document Type: article in journal/newspaper
File Description: text/plain
Language: English
ISSN: 0893-3952
Relation: https://dspace.library.uu.nl/handle/1874/459282
Availability: https://dspace.library.uu.nl/handle/1874/459282
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.A9F293D2
Database: BASE