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Clinical Trial

DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images

NCT: NCT07823023 · NOT_YET_RECRUITING

NCT IDNCT07823023
StatusNOT_YET_RECRUITING
Start Date2026-09-20
Completion2026-10-31
SponsorBeijing Friendship Hospital (OTHER)
First posted
Last updated

Brief Summary

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.

Frequently Asked Questions

What is DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images?

DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images is a clinical trial registered under NCT07823023. Current status: NOT_YET_RECRUITING.

What is the status of NCT07823023?

The current status of NCT07823023 (DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images) is: NOT_YET_RECRUITING.

When did DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images start?

DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images started on 2026-09-20.

Official Source

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Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.