The Role of Artificial Intelligence in Anterior Cruciate Ligament Injuries: Current Concepts and Future Perspectives

The Role of Artificial Intelligence in Anterior Cruciate Ligament Injuries: Current Concepts and Future Perspectives

24 January 2024 | Luca Andriollo, Aurelio Picchi, Rudy Sangaletti, Loris Perticarini, Stefano Marco Paolo Rossi, Giandomenico Logroscino, Francesco Benazzo
This review examines the current and future applications of artificial intelligence (AI) and machine learning (ML) in the management of anterior cruciate ligament (ACL) injuries. AI and ML are revolutionizing orthopedic surgery by enhancing diagnostics, risk prediction, intraoperative navigation, and postoperative care. Preoperatively, AI tools can predict ACL injuries based on MRI data and athlete workload, while ML models assist in diagnosing ACL tears with high accuracy. Intraoperatively, navigation systems improve tunnel placement and kinematic analysis, reducing the risk of graft failure. Postoperatively, AI and ML personalize pain management and rehabilitation protocols, optimizing patient outcomes. Additionally, VR simulators and AI-assisted training enhance surgical skills and education. Ethical considerations, such as patient privacy and algorithm biases, are also discussed. The exponential growth in AI research promises significant advancements in ACL injury management, with growing interest from orthopedic surgeons.This review examines the current and future applications of artificial intelligence (AI) and machine learning (ML) in the management of anterior cruciate ligament (ACL) injuries. AI and ML are revolutionizing orthopedic surgery by enhancing diagnostics, risk prediction, intraoperative navigation, and postoperative care. Preoperatively, AI tools can predict ACL injuries based on MRI data and athlete workload, while ML models assist in diagnosing ACL tears with high accuracy. Intraoperatively, navigation systems improve tunnel placement and kinematic analysis, reducing the risk of graft failure. Postoperatively, AI and ML personalize pain management and rehabilitation protocols, optimizing patient outcomes. Additionally, VR simulators and AI-assisted training enhance surgical skills and education. Ethical considerations, such as patient privacy and algorithm biases, are also discussed. The exponential growth in AI research promises significant advancements in ACL injury management, with growing interest from orthopedic surgeons.
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