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A Three-dimensional Multi-modal Expert-assisted Decision-making System for Fractures Based on Artificial Intelligence and Mixed Reality

A Three-dimensional Multi-modal Expert-assisted Decision-making System for Fractures Based on Artificial Intelligence and Mixed Reality

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300070658
Enrollment
Unknown
Registered
2023-04-19
Start date
2023-05-01
Completion date
Unknown
Last updated
2023-11-06

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

Conditions

Fracture

Interventions

Sponsors

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age > 18 years old. No gender limit; 2. Clinical diagnosis: traumatic fractures (including extremity fractures, pelvic fractures, spine fractures); degenerative lesions of the spine and bone joints; 3. DR, CT and other imaging examinations are required for clinical treatment; 4. Subjects were enrolled from June 1, 2014 to June 1, 2022.

Exclusion criteria

Exclusion criteria: 1. Patient has contraindications to medical imaging scans; 2. Presence of an internal fixation at the fracture site at the time of clinic visit.

Design outcomes

Primary

MeasureTime frame
Accuracy;Specificity;Sensitivity;Intersection over Union, IOU;Area Under The Curve, AUC;

Countries

China

Contacts

Public ContactYe Zhewei

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

yezheweiy@qq.com+86 13971213880

Outcome results

None listed

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