Checklist for AI in Medical Imaging (CLAIM) Consensus Panel

University of Pennsylvania72 enrolled

Overview

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.

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

Study Type

OBSERVATIONAL

Enrollment

Conditions

Artificial Intelligence Machine Learning Diagnostic Imaging

Eligibility

Sex: ALLMin age: 18 YearsMax age: 89 Years

Medical Language ↔ Plain English

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

Locations (1)

Hospital of the University of Pennsylvania

Philadelphia, Pennsylvania, United States

Outcomes

Primary Outcomes

Revise the Checklist for AI in Medicine Imaging (CLAIM) guideline

potential revision of the CLAIM guidelines through Delphi consensus process.

Time frame: 6 months

Data from ClinicalTrials.gov

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