Artificial Intelligence in Osteoarthritis Diagnosis and Treatment: Advancements, Challenges, and Future Prospects

Saumya Awasthi; Prafulla Tiwari; Srishti Awasthi; Arpit Dwivedi; Shikha Srivastava

doi:10.1016/j.hansur.2026.102587

January 1, 2026Hand surgery & rehabilitation

Artificial Intelligence in Osteoarthritis Diagnosis and Treatment: Advancements, Challenges, and Future Prospects

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Key Points

Artificial intelligence enhances diagnosis and treatment effectiveness for osteoarthritis, streamlining patient care.
AI applications in medical imaging and predictive analytics show a notable improvement in diagnostic accuracy.
Analysis reveals that machine learning algorithms can significantly predict treatment responses in osteoarthritis patients.
These findings emphasize the need for further validation of AI-driven methods in clinical settings.

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Implication

Observational analysis highlights advancements in artificial intelligence for osteoarthritis diagnosis and treatment, suggesting promising future prospects.

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Awasthi et al. (2026) studied this question.

synapsesocial.com/papers/69a75f17c6e9836116a2a3a4 https://doi.org/10.1016/j.hansur.2026.102587

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Artificial Intelligence in Osteoarthritis Diagnosis and Treatment: Advancements, Challenges, and Future Prospects

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

Artificial Intelligence in Osteoarthritis Diagnosis and Treatment: Advancements, Challenges, and Future Prospects

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

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