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DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images

StatusNot Yet Recruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
This prospective randomized controlled trial will evaluate whether DeepMedFake improves the identification of medical images that require further verification. DeepMedFake is an artificial intelligence-based medical image analysis system that provides an image-authenticity risk assessment, a patient-image consistency risk assessment and a recommendation regarding further verification. Hospital physicians and healthcare audit professionals will participate in a randomized two-period crossover design. Each participant will assess one case set with DeepMedFake assistance and the other without AI assistance. The primary outcome in each cohort is the sensitivity of the final verification decision, evaluated separately in the hospital clinical and healthcare audit cohorts.
Trial Details
NCT Number NCT07823023
Lead Sponsor Beijing Friendship Hospital
Conditions
(from sponsor)		 Medical Image Integrity Verification
Enrollment 64 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov