Spino-plastic surgery, back to the future

Casey Martinez , Camryn Payne , Jonathan L. Jeger , Nicole Van Spronsen , Sebastian Winocou , Maziyar A. Kalani , Michael Bohl , Alexander E. Ropper , Edward M. Reece

Artificial Intelligence Surgery ›› 2025, Vol. 5 ›› Issue (1) : 16 -23.

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Artificial Intelligence Surgery ›› 2025, Vol. 5 ›› Issue (1) :16 -23. DOI: 10.20517/ais.2024.73
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Spino-plastic surgery, back to the future
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Abstract

Artificial intelligence (AI) is a powerful computational tool that is being utilized more frequently in healthcare. AI holds promise within surgical practice, including application in the care of challenging patient populations. Complex spine reconstruction requires thorough multi-variable preoperative analysis and then the precise enactment of a surgical plan. Spino-plastics employs vascularized bone grafts (VBGs) to augment spinal fusion in these high-risk patients. In this article, we discuss the great breadth of AI and the tremendous potential for advancing the field of spino-plastics: surgical candidacy and patient selection, imaging and virtual surgical planning (VSP), intraoperative utilization, and future implementation.

Keywords

Artificial intelligence / spino-plastics / complex spinal reconstruction / machine learning / virtual surgical planning

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Casey Martinez, Camryn Payne, Jonathan L. Jeger, Nicole Van Spronsen, Sebastian Winocou, Maziyar A. Kalani, Michael Bohl, Alexander E. Ropper, Edward M. Reece. Spino-plastic surgery, back to the future. Artificial Intelligence Surgery, 2025, 5(1): 16-23 DOI:10.20517/ais.2024.73

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