Knee osteoarthritis is a common and serious issue, especially in older adults, and early detection can help improve treatment results.
This study focuses on using AI and computer vision to automate the detection and classification of knee osteoarthritis, aiming to achieve high accuracy in identifying disease severity.
The results showed that the developed model achieved 95.16% accuracy overall, effectively distinguishing between different severity levels, indicating its potential as a valuable tool for healthcare professionals.