Skip to content

Evaluating Osteoarthritis in Adults with Knee or Hip X-Rays Using Artificial Intelligence A Comparison of AI Grading vs. Doctor Assessments to Determine Accuracy

revolutionizing osteoarthritis evaluation in conventional radiography with AI powered grading. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2024/11/077356
Enrollment
60
Registered
2024-11-26
Start date
Unknown
Completion date
Unknown
Last updated
2024-12-09

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

Conditions

Health Condition 1: M179- Osteoarthritis of knee, unspecified

Interventions

Intervention1: AI-based Osteoarthritis Grading System: The intervention in this study is an AI-powered grading system designed to evaluate osteoarthritis (OA) severity using conventional radiographs.

Sponsors

DHIVYA G
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients diagnosed with osteoarthritis based on clinical and radiographic criteria. Availability of high-quality radiographic images. Patients of varying ages and genders to ensure a representative sample. Complete demographic and clinical data accompanying the radiographic images.

Exclusion criteria

Exclusion criteria: Poor quality or incomplete radiographic images. Patients without a confirmed diagnosis of osteoarthritis. Images without sufficient annotations from radiologists. Lack of demographic or clinical data necessary for the study.

Design outcomes

Primary

MeasureTime frame
Development of a robust AI algorithm for detecting and grading osteoarthritis in radiographic images:Timepoint: Every month for 3 months

Secondary

MeasureTime frame
Development of a robust AI algorithm for detecting and grading osteoarthritis in radiographic imageS.Timepoint: 3 MONTHS

Countries

India

Contacts

Public ContactDhivya G

Saveetha Medical College Hospital

dr.yuvraj1987@gmail.com9865537997

Outcome results

None listed

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