Artificial Intelligence-Based Machine Learning to Diagnose and Classify Adenomyosis from Ultrasound Scans: a Multicentre Model Development Study

Active, not recruitingOBSERVATIONAL
Enrollment

10,000

Participants

Timeline

Start Date

June 4, 2024

Primary Completion Date

December 4, 2025

Study Completion Date

February 6, 2026

Conditions
Adenomyosis of Uterus
Interventions
OTHER

use of deep learning and automated machine learning to diagnose and classify adenomyosis

Vertex AI Vision V1 software will be used as an automated machine learning tool and Pytorch 2.5 as deep learning framework. The complete set of reviewed, formatted and labelled images will be uploaded and split manually into two different datasets in 9:1 ratio; 90% of the selected images will be used as training dataset (training + validation) and 10% as test dataset.

Trial Locations (1)

Unknown

CARE Fertility, Birmingham

All Listed Sponsors
collaborator

University of Birmingham

OTHER

lead

CARE Fertility UK

OTHER

NCT06765512 - Artificial Intelligence-Based Machine Learning to Diagnose and Classify Adenomyosis from Ultrasound Scans: a Multicentre Model Development Study | Biotech Hunter | Biotech Hunter