Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging Diagnostics: Qualitative Study

This study provides a comprehensive overview of measures to enable physicians to make an informed adoption decision on AI applications in medical imaging diagnostics. Thereby, we are the first to give specific recommendations on how to realize the potential of AI applications in medical imaging diagnostics from a user perspective.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-08-12
DOI
https://doi.org/10.2196/63668
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging Diagnostics: Qualitative Study

Jasmin Hennrich, Torsten Eymann, Reeva Lederman, Marc-Fabian Körner et al.
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
article

Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging Diagnostics: Qualitative Study

Jasmin Hennrich, Torsten Eymann, Reeva Lederman, Marc-Fabian Körner, Eileen Doctor
article en

Abstract

This study provides a comprehensive overview of measures to enable physicians to make an informed adoption decision on AI applications in medical imaging diagnostics. Thereby, we are the first to give specific recommendations on how to realize the potential of AI applications in medical imaging diagnostics from a user perspective.

Journal of Medical Internet ResearchVol. 27
The University of Melbourne (AU), Fraunhofer Institute for Applied Information Technology (DE), University of Bayreuth (DE)
Openalex Percentile: Top 86%
Artificial Intelligence in Healthcare and Education
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