AIMC Topic: Spinal Diseases

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[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...
Algorithms Cervical Vertebrae Spinal Diseases Humans Artificial Intelligence
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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...
Humans Artificial Intelligence Spine Spinal Diseases
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Artificial Intelligence in Spine and Paraspinal Muscle Analysis.

Advances in experimental medicine and biology Jan 1, 2024
Disorders affecting the neurological and musculoskeletal systems represent international health burdens. A significant impediment to progress with interventional trials is the absence of responsive, objective, and valid outcome measures sensitive to ...
Spine Spinal Diseases Paraspinal Muscles Humans Artificial Intelligence Magnetic Resonance Imaging
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[Development and validation of an automatic diagnostic tool for lumbar stability based on deep learning].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Jan 15, 2023
OBJECTIVE: To develop an automatic diagnostic tool based on deep learning for lumbar spine stability and validate diagnostic accuracy.
Spinal Diseases Joint Instability Spondylolisthesis Deep Learning Radiography Lumbar Vertebrae Humans Reproducibility of Results
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Commentary: Machine Learning Applications of Surgical Imaging for the Diagnosis and Treatment of Spine Disorders: Current State of the Art.

Neurosurgery May 1, 2022
Machine Learning Diagnostic Imaging Spinal Diseases Humans
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The diagnostic and prognostic value of artificial intelligence and artificial neural networks in spinal surgery : a narrative review.

The bone & joint journal Sep 1, 2021
In recent years, machine learning (ML) and artificial neural networks (ANNs), a particular subset of ML, have been adopted by various areas of healthcare. A number of diagnostic and prognostic algorithms have been designed and implemented across a ra...
Humans Neural Networks, Computer Artificial Intelligence Prognosis Spinal Diseases
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Application of Cooperative Game Theory Principles to Interpret Machine Learning Models of Nonhome Discharge Following Spine Surgery.

Spine Jun 15, 2021
STUDY DESIGN: Retrospective analysis of prospectively acquired data.
Spinal Diseases Game Theory Risk Factors Postoperative Complications Comorbidity Models, Statistical Spine Humans Patient Discharge Machine Learning
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Using Predictive Modeling and Machine Learning to Identify Patients Appropriate for Outpatient Anterior Cervical Fusion and Discectomy.

Spine May 15, 2021
STUDY DESIGN: Retrospective, case-control.
Diskectomy Ambulatory Surgical Procedures Spinal Diseases Humans Machine Learning Databases, Factual Case-Control Studies Adult Cervical Vertebrae Cohort Studies Spinal Fusion Male Retrospective Studies Predictive Value of Tests Quality Improvement Female Risk Factors Middle Aged
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Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models.

The Journal of bone and joint surgery. American volume Jan 6, 2021
BACKGROUND: Understanding the interactions between variables that predict prolonged hospital length of stay (LOS) following spine surgery can help uncover drivers of this risk in patients. This study utilized a novel game-theory-based approach to dev...
Spinal Diseases Game Theory Medicaid Elective Surgical Procedures Critical Care Humans Nervous System Diseases Machine Learning Length of Stay Male Computer Simulation United States Middle Aged Intensive Care Units Comorbidity Female Risk Factors
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Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

Neurosurgery Sep 15, 2020
BACKGROUND: Unplanned hospital readmissions constitute a significant cost burden in healthcare. Identifying factors contributing to readmission risk presents opportunities for actionable change to reduce readmission rates.
Patient Readmission Aged Middle Aged Spinal Diseases Adult Humans Retrospective Studies Cohort Studies Male Machine Learning Female Patient Discharge Risk Factors
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