# AI-Based Self-Supervised Learning Model Using Non-Contrast Breast MRI for Early Screening and Clinical Utility Evaluation

> **NCT07205276** · NA · NOT_YET_RECRUITING · sponsor: **Second Affiliated Hospital, School of Medicine, Zhejiang University** · enrollment: 30000 (estimated)

## Conditions studied

- Breast Cancer Detection
- Early Detection of Cancer
- AI (Artificial Intelligence)

## Interventions

- **DIAGNOSTIC_TEST:** Non-contrast multiparametric breast MRI with AI-based radiomics analysis
- **DIAGNOSTIC_TEST:** Standard radiologist reading of non-contrast multiparametric breast MRI

## Key facts

- **NCT ID:** NCT07205276
- **Lead sponsor:** Second Affiliated Hospital, School of Medicine, Zhejiang University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2025-10-01
- **Primary completion:** 2027-10-01
- **Final completion:** 2027-12-01
- **Target enrollment:** 30000 (ESTIMATED)
- **Last updated:** 2025-10-03

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07205276

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07205276, "AI-Based Self-Supervised Learning Model Using Non-Contrast Breast MRI for Early Screening and Clinical Utility Evaluation". Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/clinical/NCT07205276. Licensed CC0.

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