Medical Image Integrity Verification

1

Review clinical trials related to Medical Image Integrity Verification. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Not yet recruiting

DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images

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.

Participants needed: 64
Trial details
Age: 18+Biological sex: AllType: InterventionalSponsor: Beijing Friendship HospitalUpdated: Sep 16, 2026Locations: 1
Eligibility criteria

Aged 18 years or older. [+10]

Direct involvement in development of the locked DeepMedFake model, determination... [+6]