AIMC Topic: Spinal Diseases
Clear Filters Showing 31 to 40 of 46 articles
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 ...
[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.
Commentary: Machine Learning Applications of Surgical Imaging for the Diagnosis and Treatment of Spine Disorders: Current State of the Art.
Neurosurgery
May 1, 2022
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...
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.
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.
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...
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.
Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care.
World neurosurgery
Aug 1, 2020
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual patient characteristics rather than on "one-size-fits-all" guidelines. As epidemiological datasets continue to burgeon in size and complexity, powerf...
Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value.
Spine
Jul 1, 2019
STUDY DESIGN: Retrospective review of prospectively-collected, multicenter adult spinal deformity (ASD) databases.
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