Current Challenges and Innovations in Spine Deformity: Biomechanics, Imaging and AI-Driven Analysis
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Orthopedics".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 476
Special Issue Editor
Interests: spine surgery; spine deformity; minimally invasive surgery; patients-tailored treatment; medical imaging; artificial intelligence; machine learning
Special Issue Information
Dear Colleagues,
Spinal deformities, including scoliosis, kyphosis, sagittal imbalance, and cervical deformities, remain complex challenges in modern spine surgery. Despite advancements in surgical techniques and imaging modalities, optimizing patient outcomes through precise diagnosis, biomechanical understanding, and innovative treatment strategies is an ongoing endeavor. Recent developments in artificial intelligence (AI) and medical imaging offer new opportunities for refining spinal deformity assessment and enhancing surgical planning.
This Special Issue aims to explore the intersection of biomechanics, imaging, and AI-driven analysis in spinal deformity research, with a particular focus on both spinal and cervical deformities. Topics of interest include, but are not limited to, posture-related spinal and cervical alignment changes, the role of imaging modalities in deformity classification, AI-based phenotyping and prediction models, and novel surgical approaches guided by computational analysis. Contributions integrating clinical, radiographic, and computational methodologies are particularly encouraged.
By bringing together multidisciplinary research efforts, this Special Issue seeks to address key challenges in spinal and cervical deformity management, improve diagnostic accuracy, and advance personalized treatment strategies. We welcome original research, systematic reviews, and technical advancements that contribute to the evolving understanding of spinal and cervical deformities and their clinical implications.
Dr. Dong-Ho Kang
Guest Editor
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Keywords
- spinal deformity
- cervical deformity
- biomechanics
- postural alignment
- sagittal imbalance
- medical imaging
- radiographic analysis
- artificial intelligence
- machine learning
- deep learning
- phenotyping
- computer-assisted diagnosis
- predictive modeling
- surgical planning
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