Incorporating computer vision on smart phone photographs into screening for inflammatory arthritis: results from an Indian patient cohort
Computer vision distinguishes patients and controls using smartphone photographs, showing promise as a screening tool. Future research will focus on validating findings in diverse populations and other joints and integrating this technology into clinical workflows.
Authors
- Pranay Goel (ORCID: https://orcid.org/0000-0002-2249-0288)
- Rohan Shah (ORCID: https://orcid.org/0000-0002-1606-0257)
- Sanat Phatak (ORCID: https://orcid.org/0000-0002-3548-9956)
- Somashree Chakraborty (ORCID: https://orcid.org/0000-0002-5785-9305)
- Ruchil Saptarshi
- Vanshaj Sharma
- Abhishek Zanwar
- Pratiksha Hegde
Institutions
- Indian Institute of Science Education and Research Pune (IN)
- B. J. Medical College & Sassoon Hospital (IN)
- Ruby Hall Clinic (IN)
- King Edward Memorial Hospital Research Centre (IN)
Publication Details
- Journal
- Lara D. Veeken
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1093/rheumatology/keae678
- Citations
- 2
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- University Grants Commission