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Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging
Jasmin Hennrich1,2,3, Eileen Doctor1,2,3, Marc-Fabian Körner1,2,3
1University of Bayreuth, Bayreuth, Germany.
Journal of Medical Internet Research
|August 12, 2025
Summary
Physicians need clear guidance to adopt artificial intelligence (AI) in medical imaging. This study identifies 11 measures, including education and transparency, to help physicians confidently integrate AI tools.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Healthcare Technology Adoption
Background:
- Artificial intelligence (AI) offers significant potential for enhancing accuracy and efficiency in medical imaging diagnostics.
- Widespread adoption of AI in this field is hindered by technological, organizational, regulatory, and user-related barriers, with physicians being key stakeholders.
Purpose of the Study:
- To provide guidance for physicians on making informed adoption decisions regarding AI applications in medical imaging.
- To identify and discuss measures that address key barriers to AI adoption from a physician's perspective.
Main Methods:
- A two-step qualitative research approach was employed.
- Included a structured literature review of 865 papers to identify enabling measures.
- Followed by interviews with 14 experts to evaluate and refine these measures.
Main Results:
- Eleven key measures were identified and categorized into Enabling Adoption Decision Measures and Supporting Adoption Measures.
- Enabling measures include physician education, preparing future physicians, and ensuring transparency.
- Supporting measures encompass implementation guidelines and AI marketplaces.
Conclusions:
- This study offers a comprehensive overview of measures to facilitate informed physician adoption of AI in medical imaging diagnostics.
- Provides specific, user-centric recommendations for realizing the potential of AI in medical imaging.
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