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Deep learning assisted fracture detection of the body: a retrospective study based on X-ray radiographs

Deep learning assisted fracture detection of the body: a retrospective study based on X-ray radiographs

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100054762
Enrollment
Unknown
Registered
2021-12-26
Start date
2022-02-01
Completion date
Unknown
Last updated
2022-12-05

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

Conditions

Fractures of the body

Interventions

case series:N/A

Sponsors

Shanghai Sixth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Fracture patients; 2. Complete imaging data, including X-rays and radiological reports with diagnostic significance.

Exclusion criteria

Exclusion criteria: No.

Design outcomes

Primary

MeasureTime frame
Accuracy;—

Countries

China

Contacts

Public ContactMei Jiong

Shanghai Sixth People's Hospital

meijiong@sjtu.edu.cn+86 21 24058081

Outcome results

None listed

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