Checklist for AI in Medical Imaging (CLAIM) Consensus Panel

University of Pennsylvania

Status: Completed

Conditions: Artificial Intelligence; Machine Learning; Diagnostic Imaging

Study type: Observational

Funder types: Other

Identifiers

NCT05984082

853845

Details and patient eligibility

About

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.

Full 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

Enrollment: 72 patients

Sex: All

Ages: 18 to 89 years old

Volunteers: No Healthy Volunteers

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