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Knee Joint

Knee Joint

The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...

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Updated: Jun 7, 2025

Author Spotlight: Implementing the Enhanced Recovery After Surgery Concept in Rehabilitation Following Anterior Cruciate Ligament Reconstruction

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Technology Update in Management of Multi-Ligament Knee Injuries.

Sujith Sidharthan¹, Rajarshi Bhattacharya¹

¹Department of Trauma and Orthopaedics, Imperial College Healthcare NHS Trust, The Bays, St Mary's Hospital, South Wharf Road, London, W2 1NY UK.

Indian Journal of Orthopaedics

|November 14, 2024

Summary

This summary is machine-generated.

Technological advancements are revolutionizing the diagnosis, surgical treatment, and rehabilitation of complex multi-ligament knee injuries. Innovations like AI and robotic surgery enhance precision and patient outcomes.

Keywords:

Artificial intelligence Data protection Multi-ligament knee injuries Technology

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Area of Science:

Orthopedic Surgery
Biomedical Engineering
Sports Medicine

Background:

Multi-ligament knee injuries are complex, requiring precise diagnosis and treatment for optimal function.
Current management presents challenges for physicians and therapists, emphasizing the need for improved strategies.

Purpose of the Study:

To review recent technological advancements in managing multi-ligament knee injuries.
To explore innovations in diagnosis, surgical intervention, and rehabilitation.

Main Methods:

Comprehensive literature search across PubMed, SCOPUS, and Google Scholar.
Analysis of advancements in diagnostic tools, surgical techniques, and rehabilitation protocols.

Main Results:

Advanced diagnostic tools improve pre- and post-operative evaluation accuracy.
Minimally invasive surgical approaches are enhanced by patient-specific instrumentation, computer navigation, and robotic assistance.
Digital technology and artificial intelligence are emerging as key components in surgical precision and patient education.

Conclusions:

Technological progress significantly enhances the management of multi-ligament knee injuries.
Artificial intelligence offers new possibilities but necessitates regulatory oversight for safe development and implementation.