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Research on key technologies of diagnosis and treatment decision-making model for intertrochanteric fracture of femur based on variable-mode deep learning

Research on key technologies of diagnosis and treatment decision-making model for intertrochanteric fracture of femur based on variable-mode deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400094002
Enrollment
Unknown
Registered
2024-12-16
Start date
2024-12-20
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

intertrochanteric fractures of femur

Interventions

Gold Standard:The 2018 AO/OTA Classification System for Intertrochanteric Fractures.
Index test:Artificial Intelligence-Assisted Decision-Making System diagnosis, Human doctor diagnosis.

Sponsors

Army Medical Center of PLA
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.X-ray and CT images of patients with 'intertrochanteric fracture', 'trochanteric fracture', and 'intertrochanteric fracture' in the diagnosis description. 2.X-ray and CT images of patients undergoing unilateral femur, pelvis, and lower extremity imaging.

Exclusion criteria

Exclusion criteria: 1.Postoperative images of patients, images with metal implants, images with foreign body obstruction, and images with poor resolution. 2.The X-ray image or CT scan of non-intertrochanteric fracture of the femur. 3.Non-anteroposterior view.

Design outcomes

Primary

MeasureTime frame
accuracy;F1 Score;—

Secondary

MeasureTime frame
Precision;Recall;Diagnosis time;—

Countries

China

Contacts

Public ContactNie Rui

Army Medical Center of PLA

leah.nier@qq.com+86 18996367982

Outcome results

None listed

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