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Updated: Jan 14, 2026
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A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research
Published on: July 31, 2017
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Implementation of artificial intelligence (AI) in ASD treatment
Kyriakos D Chatzis1, Peter Tretiakov1, Peter G Passias1
1Division of Spine Surgery, Departments of Neurological and Orthopaedic Surgery, Duke Medical Center, Duke University School of Medicine, 40 Duke Medicine Circle, Durham, NC 27710, United States.
North American Spine Society Journal
|October 27, 2025
Summary
Artificial intelligence (AI) enhances adult spinal deformity (ASD) surgery by improving planning, prediction, and personalization. AI tools boost accuracy and efficiency, leading to better outcomes and surgical safety in complex spine care.
Area of Science:
- Spine Surgery
- Artificial Intelligence
- Medical Technology
Background:
- Adult spinal deformity (ASD) surgery is complex with high complication rates and variable outcomes.
- Artificial intelligence (AI) offers promising solutions for improving ASD surgical planning, prediction, and personalization.
- AI can address challenges in ASD care, from preoperative decisions to postoperative management.
Purpose of the Study:
- To review the current literature and technologies on AI in adult spinal deformity surgery.
- To explore the application of AI across the entire surgical workflow for ASD.
- To illustrate practical AI applications in ASD surgery with a case example.
Main Methods:
- Comprehensive narrative review of existing literature and technologies.
- Focused on AI applications including predictive analytics, automated radiographic assessment, and intraoperative navigation.
- Included evidence synthesis and a case study of AI-assisted deformity correction.
Main Results:
- AI algorithms outperform traditional methods in predicting complications and patient outcomes.
- Automated radiographic platforms enhance spinal alignment measurement and surgical planning.
- AI-assisted intraoperative navigation and personalized implants improve surgical precision and reduce variability.
Conclusions:
- AI is transforming ASD surgery by enhancing decision-making and enabling personalized, data-driven care.
- Current evidence supports AI-assisted strategies for improving spinal alignment and surgical safety.
- AI holds significant potential as a cornerstone for precision spine surgery.
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