Scholarly Journal

January 2024

Healthcare is an international, scientific, peer-reviewed, open access journal on health care systems, industry, technology, policy, and regulation, and is published semimonthly online by MDPI.

Journal AIM:

Examine the literature that explores the comprehensive clinical relevance of AI-based tools utilised before, during and after ACL reconstruction, specifically focusing on the use of AI, ML and DL. The goal is to address and enhance the detection, treatment and rehabilitation of individuals with ACL injuries.

My Learnings

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SUMMARY

Recent research efforts aimed at integrating AI into orthopaedic surgery and sports medicine have shown significant potential, showing particular promise in areas like:

• Predicting the risk of athlete injuries
• Interpreting advanced imagery
• Assessing patient reported outcomes
• Reporting value-based metrics
• Enhancing the overall patient experience

In particular…

The knee is involved in nearly half of all injuries in orthopaedic sports pathology. ACL are the most common injury among these (78% of all sports-related knee pathology).

In the management of ACL tears, AI and ML can play a role in:

• improving diagnostics
• predicting individuals at risk of ACL injury or re-injury
• identifying complex anatomic landmarks during surgery
• optimising pain control and post-op rehabilitation protocols

However… interest and understanding of AI and ML in knee injuries are still little-known and under utilised.

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AI Tools

The 4 essential elements for implementing AI in medicine include:

• big datasets
• high-performance computers
• cloud computing infrastructure
• the development of open-source algorithms