Haftungsausschluss: Diese Website bündelt öffentlich verfügbare Daten aus offiziellen Quellen wie FDA, ClinicalTrials.gov, PubMed und SEC EDGAR nur zur allgemeinen Information. Sie stellt keine medizinische Beratung, Diagnose, Behandlungsempfehlung oder Anlageberatung dar.

Klinische Studie

DeepMedFake-Assisted Detection of Synthetic and Discordant Medical Images

NCT: NCT07823023 · NOT_YET_RECRUITING

NCT-IDNCT07823023
Medizinische Daten: StatusNOT_YET_RECRUITING
Startdatum2026-09-20
Abschluss2026-10-31
SponsorBeijing Friendship Hospital (OTHER)
First posted
Last updated

Kurzzusammenfassung

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.

Offizielle Quelle

Auf ClinicalTrials.gov ansehen →

Daten aus der ClinicalTrials.gov-API. Den aktuellsten Status finden Sie im offiziellen Eintrag.

↑