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Connecting Technological Innovation in Artificial Intelligence to Real-world Medical Practice through Rigorous
Seong Ho Park1, Herbert Y Kressel2
1Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Journal of Korean Medical Science
|May 29, 2018
Summary
Rigorous clinical validation is crucial for artificial intelligence (AI) in healthcare. Peer-reviewed journals can guide AI study design, registration, and reporting to ensure patient safety and effective clinical integration.
Area of Science:
- Medical Informatics
- Clinical Research Methodology
- Artificial Intelligence in Medicine
Background:
- Artificial intelligence (AI) shows great promise for transforming clinical practice.
- However, widespread clinical adoption is limited due to a lack of robust validation.
- Ensuring patient safety and benefit necessitates rigorous evaluation before AI integration.
Purpose of the Study:
- To highlight the critical need for systematic clinical validation of AI diagnostic and predictive technologies.
- To propose the role of peer-reviewed medical journals in facilitating this validation process.
- To emphasize key considerations for study design, registration, and reporting of AI performance.
Main Methods:
- The article discusses the importance of structured approaches to validating AI tools in medicine.
- It focuses on the critical elements of study design, data registration, and transparent reporting.
- Emphasis is placed on evaluating diagnostic accuracy and efficacy.
Main Results:
- Currently, few AI technologies have undergone thorough clinical validation.
- There is a recognized gap between AI development and its safe, effective implementation in clinical settings.
- Systematic validation is essential to bridge this gap.
Conclusions:
- Peer-reviewed journals are pivotal in promoting high-quality validation of medical AI.
- Journals can guide researchers by emphasizing critical factors in AI study design and reporting.
- This guidance will accelerate the translation of AI innovations into clinical practice, ensuring patient safety and benefit.
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