Artificial intelligence-driven gait analysis in knee osteoarthritis: redefining real-time biomechanical precision for personalized rehabilitation

Aavrati Rastogi; Roop B. Kalia; Vivek K. Singh; Pradeep K. Meena

doi:10.18203/issn.2455-4510.IntJResOrthop20262943

Authors

Aavrati Rastogi Department of Orthopedics, AIIMS Rishikesh, Uttarakhand, India https://orcid.org/0000-0002-8985-3143
Roop B. Kalia Department of Orthopedics, AIIMS Rishikesh, Uttarakhand, India https://orcid.org/0000-0002-3418-5942
Vivek K. Singh Department of Orthopedics, AIIMS Rishikesh, Uttarakhand, India https://orcid.org/0000-0001-6781-9043
Pradeep K. Meena Department of Orthopedics, AIIMS Rishikesh, Uttarakhand, India https://orcid.org/0000-0001-7278-3671

DOI:

https://doi.org/10.18203/issn.2455-4510.IntJResOrthop20262943

Keywords:

Artificial intelligence, Gait analysis, Biochemical precision

Abstract

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.

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References

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