Machine Learning and Artificial Intelligence in Spine Fracture Management
In This Article
- The development of machine learning and artificial intelligence (AI) is a growing trend in the orthopedic industry
- Joseph Schwab, MD, discusses the growing interest in using machine learning or AI to predict fractures in spine fracture management
- Unlike traditional prediction models that are relatively static, AI offers a more personalized and accurate representation of where a patient will fracture
In spine fracture management, there is a growing interest in using machine learning or artificial intelligence (AI) to predict fractures. Joseph Schwab, MD, chief of the Orthopaedic Spine Center at Massachusetts General Hospital, believes that unlike traditional prediction models that are relatively static, AI offers a more personalized and accurate representation of where a patient will fracture.
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At the 2019 AAOS meeting in Las Vegas, Dr. Schwab moderated a session on machine learning, artificial intelligence and big data. In Becker's Spine Review, he shared his belief that the direct application of this new technology has implications for advancing clinical care.
With the changing landscape of spine fracture management, Dr. Schwab anticipates the benefits and challenges of integrating AI in care. AI-assisted care has the potential to incite useful changes in spine patient management. AI and machine learning are advantageous for spine surgery because they can improve preoperative planning, surgical performance and patient outcomes.
However, challenges also accompany the growth in technology. Dr. Schwab cited the expansion of large medical groups into new markets and geographies. Expansion is key to remaining competitive, but groups must maintain control of their brand.
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