Vollständiger Abstract
Worum geht es in dieser Arbeit?
Globally, knee osteoarthritis (KOA) is an important contributor to pain, limited mobility, and long-term disability. Conventional assessment methods still primarily rely on radiographic results, subjective complaint reporting, and episodic clinical examination, despite advancements in musculoskeletal rehabilitation. However, the dynamic biomechanical dysfunction that underlies discomfort, instability, and increasing functional loss in people with KOA is often missed by these methods.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Aavrati Rastogi, Roop B. Kalia, Vivek K. Singh, Pradeep K. Meena
- Quelle
- International Journal of Research in Orthopaedics
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2455-4510
- Zitationen
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Zitierfähiger Nachweis
Aavrati Rastogi, Roop B. Kalia, Vivek K. Singh, Pradeep K. Meena (2026). Artificial intelligence-driven gait analysis in knee osteoarthritis: redefining real-time biomechanical precision for personalized rehabilitation. International Journal of Research in Orthopaedics. https://doi.org/10.18203/issn.2455-4510.intjresorthop20262943