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

> **NCT06765512** · — · ACTIVE_NOT_RECRUITING · sponsor: **CARE Fertility UK** · enrollment: 10000 (estimated)

## Conditions studied

- Adenomyosis of Uterus

## Interventions

- **OTHER:** use of deep learning and automated machine learning to diagnose and classify adenomyosis

## Key facts

- **NCT ID:** NCT06765512
- **Lead sponsor:** CARE Fertility UK
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2024-06-04
- **Primary completion:** 2025-12-04
- **Final completion:** 2026-02-06
- **Target enrollment:** 10000 (ESTIMATED)
- **Last updated:** 2025-01-09

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06765512

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06765512, "Artificial Intelligence-Based Machine Learning to Diagnose and Classify Adenomyosis from Ultrasound Scans: a Multicentre Model Development Study". Retrieved via AI Analytics 2026-07-06 from https://api.ai-analytics.org/clinical/NCT06765512. Licensed CC0.

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