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Diagnostic Trial of a Vision Transformer-Based Ultrasound AI Model for Placenta Accreta Spectrum
Sponsor: FANG HE
Summary
This study develops an end-to-end Vision Transformer (ViT)-based artificial intelligence system for ultrasound-based diagnosis of placenta accreta spectrum (PAS), aiming to improve the accuracy and efficiency of prenatal screening using standardized ultrasound video inputs.
Official title: Diagnostic Trial of Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model for Assisting in the Diagnosis of Placenta Accreta Spectrum Disorders: An Investigator-Initiated Prospective Clinical Study
Key Details
Gender
FEMALE
Age Range
18 Years - 45 Years
Study Type
OBSERVATIONAL
Enrollment
561
Start Date
2025-09-01
Completion Date
2027-12-31
Last Updated
2026-06-11
Healthy Volunteers
No
Conditions
Interventions
Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model
An end-to-end ultrasound AI model based on the Vision Transformer (ViT) architecture was developed for the diagnosis of placenta accreta spectrum (PAS) using standardized ultrasound video inputs. Ultrasound Video Acquisition Protocol: With the patient in the supine position, the operator scanned the lower abdomen using a conventional grayscale probe. Video recording was performed in gray-scale mode for approximately 20-30 seconds, ensuring that the entire scanning region from the lower uterine segment to the uterine fundus was comprehensively captured.
Locations (1)
The Third Affiliated Hospital, Guangzhou Medical University
Guangzhou, Guangdong, China