NCT05984082

Checklist for AI in Medical Imaging (CLAIM) Consensus Panel

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 72 (actual)
• Sponsor: University of Pennsylvania · Academic / Other
• Sex: All
• Age: 18 Years – 89 Years
• Healthy volunteers: —

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

Conditions

• Artificial Intelligence
• Machine Learning
• Diagnostic Imaging

Timeline

• Start date: 2023-08-01
• Primary completion: 2023-12-31
• Completion: 2024-05-01
• First posted: 2023-08-09
• Last updated: 2024-09-23

Locations

1 site across 1 country: United States