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Checklist for AI in Medical Imaging (CLAIM) Consensus Panel

Conditions
Artificial Intelligence
Diagnostic Imaging
Machine 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
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

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Revise the Checklist for AI in Medicine Imaging (CLAIM) guideline6 months

potential revision of the CLAIM guidelines through Delphi consensus process.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Hospital of the University of Pennsylvania

🇺🇸

Philadelphia, Pennsylvania, United States

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