Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Oct 23, 2023
Date Accepted: Oct 18, 2024
Future Use of Artificial Intelligence in Diagnostic Medicine: Two-Wave Cross-Sectional Survey of Researchers’ Expectations
ABSTRACT
Background:
The rapid evolution of Artificial Intelligence (AI) holds great implications for diagnostic medicine.
Objective:
This study provides a comparative analysis of global researcher expectations regarding the role of AI in diagnostic medicine in 2020 and 2023.
Methods:
Using a ten-year projection for each survey period, the research captures perceptions of AI's potential impact on the field. The survey encompassed responses from approximately 3,700 AI and diagnostic medicine researchers from diverse regions.
Results:
Findings indicate a prevalent expectation that AI will significantly influence diagnostic medicine within the next decade. Respondents anticipated reduced screening expenses and augmented diagnostic dependability would underpin this transformation. Notably, X-ray diagnosis and heart rhythm interpretation emerged as the primary diagnostic modalities anticipated to integrate AI. Challenges to this integration were identified, with the primary barriers being the complexities involved in embedding AI into current clinical paradigms and ethical and regulatory issues. Notably, the consistency in viewpoints between the two survey periods suggests a stable outlook on AI's role in the forthcoming decade.
Conclusions:
This study offers insights into the projected benefits and challenges of AI integration into diagnostic medicine, serving as a reference for stakeholders such as clinicians, healthcare managers, and technology developers.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.