Checklist for AI in Medical Imaging (CLAIM) Consensus Panel
- Conditions
- Artificial IntelligenceDiagnostic ImagingMachine Learning
- Registration Number
- NCT05984082
- Lead Sponsor
- University of Pennsylvania
- 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
Recruitment & Eligibility
- Status
- ENROLLING_BY_INVITATION
- Sex
- All
- Target Recruitment
- 110
- 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
- Non physicians, AI researchers and journal editors
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Revise the Checklist for AI in Medicine Imaging (CLAIM) guideline 6 months potential revision of the CLAIM guidelines through Delphi consensus process.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Hospital of the University of Pennsylvania
🇺🇸Philadelphia, Pennsylvania, United States