Artificial Intelligence, Diagnostic Imaging, Machine Learning
Conditions
Keywords
Checklist for AI in Medical Imaging (CLAIM), Reporting guideline, Delphi consensus method, Survey
Brief summary
The investigators will revise the Checklist for AI in Medical Imaging (CLAIM) guideline using Delphi consensus methods. An international panel of physicians, researchers, and journal editors with expertise in AI in medical imaging -- including radiology, pathology, dermatology, GI endoscopy, and ophthalmology -- will complete up to 3 web-based surveys. Participants who complete all survey rounds will be credited as contributors on resulting publications.
Detailed description
The survey will be administered in collaboration with: * Anthony A. Gatti, PhD (Stanford University) * Michail E. Klontzas, MD, PhD (University of Crete School of Medicine) \* * Linda Moy, MD (New York University Grossman School of Medicine) * John Mongan, MD, PhD (University of California San Francisco) * Seong Ho Park, MD, PhD (University of Ulsan College of Medicine) * Ali S. Tejani, MD (University of Texas Southwestern Medical School) (\*) Survey administrator
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* More than 70 invited panelists -- physicians, AI researchers, and journal editors -- have agreed to participate in the surveys. Those who participate in all rounds of the survey will be named as contributors in any resulting publications
Exclusion criteria
* Non physicians, AI researchers and journal editors
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Revise the Checklist for AI in Medicine Imaging (CLAIM) guideline | 6 months | potential revision of the CLAIM guidelines through Delphi consensus process. |
Countries
United States