AIMC Topic: Spinal Diseases
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Utility of machine learning algorithms in degenerative cervical and lumbar spine disease: a systematic review.
Neurosurgical review
Sep 7, 2021
Machine learning is a rapidly evolving field that offers physicians an innovative and comprehensive mechanism to examine various aspects of patient data. Cervical and lumbar degenerative spine disorders are commonly age-related disease processes that...
Artificial intelligence for adult spinal deformity: current state and future directions.
The spine journal : official journal of the North American Spine Society
May 8, 2021
As we experience a technological revolution unlike any other time in history, spinal surgery as a discipline is poised to undergo a dramatic transformation. As enormous amounts of data become digitized and more readily available, medical professional...
Pain phenotypes classified by machine learning using electroencephalography features.
NeuroImage
Aug 29, 2020
Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar radiculopathy, 20 age and gender matched healthy subjects, and 17 subjects ...
Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Feb 18, 2020
OBJECTIVE: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective functional impairment and thus provided an adjunctive dimension in patient assessment. The clinical interpretability and confounders of the 5R-STS remain poor...
Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess.
The spine journal : official journal of the North American Spine Society
May 4, 2019
BACKGROUND CONTEXT: Data regarding risk of failure of nonoperative management in spinal epidural abscess (SEA) are limited. Given the potential for deterioration with treatment failure, a tool that predicts the probability of failure would be of grea...
Assessing the Intraoperative Accuracy of Pedicle Screw Placement by Using a Bone-Mounted Miniature Robot System through Secondary Registration.
PloS one
Apr 7, 2016
INTRODUCTION: Pedicle screws are commonly employed to restore spinal stability and correct deformities. The Renaissance robotic system was developed to improve the accuracy of pedicle screw placement.
Deep Learning Study of Alkaptonuria Spinal Disease Assesses Global and Regional Severity and Detects Occult Treatment Status.
Journal of inherited metabolic disease
May 1, 2025
Deep learning (DL) is increasingly used to analyze medical imaging, but is less refined for rare conditions, which require novel pre-processing and analytical approaches. To assess DL in the context of rare diseases, this study focused on alkaptonuri...
Artificial Intelligence in Spine Imaging: A Paradigm Shift in Diagnosis and Care.
Magnetic resonance imaging clinics of North America
May 1, 2025
Recent advancements in artificial intelligence (AI) can significantly improve radiologists' workflow, improving efficiency and diagnostic accuracy. Current AI applications within spine imaging are approved to accelerate image acquisition time, improv...
[Applications and prospects of artificial intelligence in cervical spine surgery].
Zhonghua wai ke za zhi [Chinese journal of surgery]
May 1, 2025
Artificial intelligence(AI) is increasingly being utilized in the research of cervical spine diseases, encompassing areas such as image analysis, assisted diagnosis, clinical treatment decision support, surgical assistance, and postoperative rehabili...
Clinical applications of AI-prediction tools in spine surgery: a narrative review.
JPMA. The Journal of the Pakistan Medical Association
Apr 1, 2024
Spine surgery has grown into a wide, complex field encompassing trauma surgery to deformity to tumours. Artificial intelligence (AI) based technology has been particularly useful in improving imaging-reporting and detection of predictive patterns. Th...
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