AIMC Topic: Spinal Fusion

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Machine-learning models for the prediction of ideal surgical outcomes in patients with adult spinal deformity.

The bone & joint journal Mar 1, 2025
AIMS: Adult spinal deformity (ASD) surgery can reduce pain and disability. However, the actual surgical efficacy of ASD in doing so is far from desirable, with frequent complications and limited improvement in quality of life. The accurate prediction...
Male Middle Aged Treatment Outcome Spinal Fusion Female Aged Adult Patient Reported Outcome Measures Spinal Curvatures Humans Machine Learning Retrospective Studies
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Appropriateness and Consistency of an Online Artificial Intelligence System's Response to Common Questions Regarding Cervical Fusion.

Clinical spine surgery Feb 10, 2025
STUDY DESIGN: Prospective survey study.
Humans Surveys and Questionnaires Artificial Intelligence Internet Female Cervical Vertebrae Male Spinal Fusion
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Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2025
BACKGROUND CONTEXT: Preoperative risk assessment remains a challenge in spinal fusion operations. Predictive modeling provides data-driven estimates of postsurgical outcomes, guiding clinical decisions and improving patient care. Moreover, automated ...
Lumbar Vertebrae Retrospective Studies Anemia Electronic Health Records Patient Readmission Female Postoperative Complications Preoperative Period Length of Stay Humans Adult Spinal Fusion Aged Machine Learning Male Middle Aged Risk Assessment
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.

Scientific reports Jan 27, 2025
With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scoliosis (AIS) can be guided more effectively. However, surgical decision-making and optimal strategies still lack standardization and personalized customiz...
Treatment Outcome Decision Making Spinal Fusion Scoliosis Male Deep Learning Adolescent Child Neural Networks, Computer Clinical Decision-Making Female Humans
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Machine learning models for predicting dysphonia following anterior cervical discectomy and fusion: a Swedish Registry Study.

The spine journal : official journal of the North American Spine Society Nov 4, 2024
BACKGROUND: Dysphonia is one of the more common complications following anterior cervical discectomy and fusion (ACDF). ACDF is the gold standard for treating degenerative cervical spine disorders, and identifying high-risk patients is therefore cruc...
Humans Middle Aged Postoperative Complications Sweden Registries Spinal Fusion Machine Learning Aged Cervical Vertebrae Diskectomy Retrospective Studies Adult Dysphonia Female Male
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Development of machine learning model for predicting prolonged operation time in lumbar stenosis undergoing posterior lumbar interbody fusion: a multicenter study.

The spine journal : official journal of the North American Spine Society Oct 19, 2024
BACKGROUND CONTEXT: Longer posterior lumbar interbody fusion (PLIF) surgeries for individuals with lumbar spinal stenosis are linked to more complications and negatively affect recovery after the operation. Therefore, there is a critical need for a m...
Retrospective Studies Female Aged Male Humans Machine Learning Lumbar Vertebrae Spinal Stenosis Middle Aged Operative Time Spinal Fusion
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SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.

Medical image analysis Sep 16, 2024
Spinal fusion surgery requires highly accurate implantation of pedicle screw implants, which must be conducted in critical proximity to vital structures with a limited view of the anatomy. Robotic surgery systems have been proposed to improve placeme...
Tomography, X-Ray Computed Deep Learning Robotic Surgical Procedures Spinal Fusion Surgery, Computer-Assisted Pedicle Screws Humans
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Interpretable Machine Learning Models Based on Shapley Additive Explanations for Predicting the Risk of Cerebrospinal Fluid Leakage in Lumbar Fusion Surgery.

Spine Jul 4, 2024
STUDY DESIGN: Retrospective study.
Cerebrospinal Fluid Leak Spinal Fusion Lumbar Vertebrae Male Female Middle Aged Postoperative Complications Risk Factors Humans Aged Machine Learning Adult Retrospective Studies
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Unveiling surgical expertise through machine learning in a novel VR/AR spinal simulator: A multilayered approach using transfer learning and connection weights analysis.

Computers in biology and medicine Jun 29, 2024
BACKGROUND: Virtual and augmented reality surgical simulators, integrated with machine learning, are becoming essential for training psychomotor skills, and analyzing surgical performance. Despite the promise of methods like the Connection Weights Al...
Male Augmented Reality Humans Clinical Competence Machine Learning Neural Networks, Computer Algorithms Virtual Reality Female Spinal Fusion
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Clinicosocial determinants of hospital stay following cervical decompression: A public healthcare perspective and machine learning model.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia May 30, 2024
OBJECTIVE: Post-operative length of hospital stay (LOS) is a valuable measure for monitoring quality of care provision, patient recovery, and guiding hospital resource management. But the impact of patient ethnicity, socio-economic deprivation as mea...
Middle Aged Length of Stay Cervical Vertebrae Female Spinal Fusion Humans Aged Decompression, Surgical Machine Learning Adult Male Retrospective Studies
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