RecruitingNCT07643090

Diagnostic Trial of a Vision Transformer-Based Ultrasound AI Model for Placenta Accreta Spectrum

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

Sponsor

FANG HE

Enrollment

561 participants

Start Date

Sep 1, 2025

Study Type

OBSERVATIONAL

Conditions

Placenta Accreta Spectrum

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.

Eligibility

Sex: FEMALEMin Age: 18 YearsMax Age: 45 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model for people with placenta accreta spectrum. The study is currently recruiting participants at 1 location. People eligible for this study include women aged 18 Years to 45 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTVision 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.