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Artificial Intelligence Model-Assisted Accurate Diagnosis of Early-Stage Breast Cancer: A Single-Center, Retrospective Cohort Study

Artificial Intelligence Model-Assisted Accurate Diagnosis of Early-Stage Breast Cancer: A Single-Center, Retrospective Cohort Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104260
Enrollment
Unknown
Registered
2025-06-13
Start date
2025-06-25
Completion date
Unknown
Last updated
2025-06-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast cancer

Interventions

Training set group:None
Validation set group:None

Sponsors

Army Medical Center of PLA
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1.Patients pathologically confirmed or ruled out of breast cancer. 2.Available pathological results of breast lump. 3.Only the diagnostic population is involved.

Exclusion criteria

Exclusion criteria: 1.Suffering from mental illness. 2.Presence of non - breast diseases during examination. 3.Presence of breast implants. 4.Undergone non - breast surgery, or received radiotherapy/chemotherapy. 5.Nursing or pregnant women. 6.Missing data.

Design outcomes

Primary

MeasureTime frame
Area under the ROC curve;—

Secondary

MeasureTime frame
Predictive model accuracy;Diagnostic model negative predictive rate;Predict the F-score of the model;Diagnostic model positive predictive rate;Predictive model accuracy;—

Countries

China

Contacts

Public ContactXu Yan

Army Medical Center of PLA

xy931@163.com+86 15923100038

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026