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Using Artificial Intelligence to Detect Hidden Scaphoid Wrist Fractures on X-rays and Assist Doctors in Treatment Decisions

Application of Artificial Intelligence in the Detection of occult Scaphoid Bone Fractures in Wrist Injuries Using Radiographic Imaging and develop Clinical Decision Support System - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/06/111763
Enrollment
100
Registered
2026-06-03
Start date
Unknown
Completion date
Unknown
Last updated
2026-06-22

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

Conditions

Health Condition 1: S620- Fracture of navicular [scaphoid] bone of wrist

Interventions

Intervention1: Nil: Nil

Sponsors

JSS Academy of higher education and research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Adults (more than 18 years old) of any sex, presented with wrist injury. Standard, de-identified posterioanterior and lateral wrist radiographs. Controls - Radiographs of wrists without any fractures or other osseous pathology, matched for age and sex distribution to fracture cases.

Exclusion criteria

Exclusion criteria: Radiographs with motion blur, severe under- or over-exposure, inappropriate centering, or missing views. Non-standard projections (e.g., carpal tunnel, clenched fist views). Prior Wrist Pathology - History of wrist surgery or fixation hardware (plates, screws). Pre-existing degenerative changes (advanced osteoarthritis) or inflammatory arthropathies affecting carpal bone appearance. Non-Traumatic Lesions - Pathological fractures (e.g., from bone tumors, infection). Congenital variants or accessory ossicles mistaken for fractures. Pediatric age group of less than 18years are excluded

Design outcomes

Primary

MeasureTime frame
To develop and evaluate AI-based diagnostic tools that assist in the early and accurate detection of Scaphoid bone fractures from wrist radiographs (X-rays).Timepoint: January 2020 December 2026 (retrospective data collection from 2020 2025 and prospective validation during 2026)

Countries

India

Contacts

Public ContactDr Vijay C

JSS Academy of Higher Education and Research

vijayc@jssuni.edu.in8147947749

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Jun 29, 2026