Osteoarthritis (OA) is one of the most common musculoskeletal disorders affecting elderly individuals and physically active populations, leading to chronic pain, joint stiffness, mobility issues, and reduced quality of life. In the North Eastern Region (NER), difficult terrain, physically demanding livelihoods, aging population, and limited access to specialized orthopaedic care further increase the burden of undiagnosed and untreated osteoarthritis cases. Early identification of OA risk markers
This problem statement seeks to develop an AI-assisted screening and detection system for identifying early risk markers and symptoms associated with Osteoarthritis (OA) in the North Eastern Region.
Osteoarthritis (OA) is one of the most common musculoskeletal disorders affecting elderly individuals and physically active populations, leading to chronic pain, joint stiffness, mobility issues,... In the North Eastern Region (NER), difficult terrain, physically demanding livelihoods, aging population, and limited access to specialized orthopaedic care further increase the burden of... Early identification of OA risk markers
This problem statement seeks to develop an AI-assisted screening and detection system for identifying early risk markers and symptoms associated with Osteoarthritis (OA) in the North Eastern Region. The expected system must: a. Assist in early detection of OA-related risk markers through • Joint movement analysis • Gait and posture assessment • Pain and mobility screening inputs • Medical imaging or sensor-based assessment (if applicable) b. Use AI/ML techniques to analyse patient data and identify high-risk cases for early intervention c. Support screening in primary healthcare centres, rural health camps, and community outreach programs d. Provide preliminary OA risk assessment and severity indication e. Enable healthcare workers to digitally record patient symptoms and screening reports f. I