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Can Artificial Intelligence Diagnose Knee Osteoarthritis?
Mihir Tandon1, Nitin Chetla2, Adarsh Mallepally3
1Albany Medical College, Albany, NY, United States.
JMIR Biomedical Engineering
|April 23, 2025
Summary
GPT-4o shows promise in identifying knee osteoarthritis but requires caution. While sensitive, its specificity is low, necessitating careful use in clinical image analysis.
Area of Science:
- Artificial Intelligence in Medicine
- Medical Imaging Analysis
- Orthopedics
Background:
- Knee osteoarthritis (KO) is a prevalent degenerative joint disease.
- Accurate diagnosis of KO is crucial for effective patient management.
- AI tools are increasingly explored for medical image interpretation.
Purpose of the Study:
- To evaluate the diagnostic performance of GPT-4o for knee osteoarthritis identification.
- To assess the sensitivity and specificity of GPT-4o in detecting knee osteoarthritis from medical images.
Main Methods:
- Analysis of GPT-4o's capability in identifying knee osteoarthritis.
- Evaluation of model performance metrics including sensitivity and specificity.
Main Results:
- GPT-4o demonstrated good sensitivity in identifying knee osteoarthritis.
- The model exhibited poor specificity in diagnosing knee osteoarthritis.
- Potential for AI in KO detection but limitations exist.
Conclusions:
- GPT-4o shows potential for knee osteoarthritis detection but requires further refinement.
- Clinicians and patients should exercise caution when utilizing GPT-4o for KO image analysis.
- Future research should focus on improving the specificity of AI models for osteoarthritis diagnosis.
