Aviso: Este sitio agrega datos públicos oficiales de la FDA, ClinicalTrials.gov, PubMed y SEC EDGAR solo como referencia general. No constituye asesoramiento médico, diagnóstico, recomendaciones de tratamiento ni asesoramiento de inversión.

Ensayo clínico

DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images

NCT: NCT07823023 · NOT_YET_RECRUITING

ID NCTNCT07823023
EstadoNOT_YET_RECRUITING
Fecha de inicio2026-09-20
Finalización2026-10-31
SponsorBeijing Friendship Hospital (OTHER)
First posted
Last updated

Resumen breve

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.

Fuente oficial

Ver en ClinicalTrials.gov →

Datos obtenidos de la API de ClinicalTrials.gov. Para conocer el estado más reciente, consulte el registro oficial.

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