# Human-AI Collaborative INSIGHT Diagnostic Workflow for in Breast Cancer With Extensive Intraductal Component

> **NCT07060599** · NA · NOT_YET_RECRUITING · sponsor: **Sun Yat-sen University** · enrollment: 480 (estimated)

## Conditions studied

- Artificial Intelligence (AI) in Diagnosis

## Interventions

- **OTHER:** INvasion Screening with Intelligent Guidance for Histopathology Triage (INSIGHT) Workflow

## Key facts

- **NCT ID:** NCT07060599
- **Lead sponsor:** Sun Yat-sen University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2025-08-01
- **Primary completion:** 2026-12-31
- **Final completion:** 2027-08-01
- **Target enrollment:** 480 (ESTIMATED)
- **Last updated:** 2025-07-11


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07060599

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07060599, "Human-AI Collaborative INSIGHT Diagnostic Workflow for in Breast Cancer With Extensive Intraductal Component". Retrieved via AI Analytics 2026-06-03 from https://api.ai-analytics.org/clinical/NCT07060599. Licensed CC0.

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