AIMC Topic: Diskectomy
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A modular cage may prevent endplate damage and improve spinal deformity correction.
Clinical biomechanics (Bristol, Avon)
Mar 30, 2025
BACKGROUND: Anterior lumbar interbody fusion is performed to fuse pathological spinal segments, generally, with a monobloc cage inserted by impact forces. Recently developed three-part modular cages attempt to reduce the impact forces, minimize the d...
Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy.
Journal of magnetic resonance imaging : JMRI
Nov 5, 2024
BACKGROUND: Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although the combination of MRI and deep learning (DL) has shown promise, its application in evaluating postoperative outcomes in TMD has not been fully explor...
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...
Prediction of primary admission total charges following cervical disc arthroplasty utilizing machine learning.
The spine journal : official journal of the North American Spine Society
Sep 26, 2024
BACKGROUND CONTEXT: Cervical disc arthroplasty (CDA) has become an increasingly popular alternative to anterior cervical discectomy and fusion, offering benefits such as motion preservation and reduced risk of adjacent segment disease. Despite its ad...
A microdiscectomy surgical video annotation framework for supervised machine learning applications.
International journal of computer assisted radiology and surgery
Jul 19, 2024
PURPOSE: Lumbar discectomy is among the most common spine procedures in the US, with 300,000 procedures performed each year. Like other surgical procedures, this procedure is not excluded from potential complications. This paper presents a video anno...
Machine learning models on a web application to predict short-term postoperative outcomes following anterior cervical discectomy and fusion.
BMC musculoskeletal disorders
May 21, 2024
BACKGROUND: The frequency of anterior cervical discectomy and fusion (ACDF) has increased up to 400% since 2011, underscoring the need to preoperatively anticipate adverse postoperative outcomes given the procedure's expanding use. Our study aims to ...
Measurement of interspinous motion in dynamic cervical radiographs using a deep learning-based segmentation model.
Journal of neurosurgery. Spine
Jun 9, 2023
OBJECTIVE: Interspinous motion (ISM) is a representative method for evaluating the functional fusion status following anterior cervical discectomy and fusion (ACDF) surgery, but the associated measuring difficulty and potential errors in the clinical...
Using Machine Learning and Deep Learning Algorithms to Predict Postoperative Outcomes Following Anterior Cervical Discectomy and Fusion.
Clinical spine surgery
Mar 13, 2023
STUDY DESIGN: A retrospective cohort study from a multisite academic medical center.
Minimally invasive trans-superior articular process percutaneous endoscopic lumbar discectomy with robot assistance.
BMC musculoskeletal disorders
Dec 31, 2022
BACKGROUND: To compare the clinical outcomes of patients with lumbar disc herniation treated with robot-assisted percutaneous endoscopic lumbar discectomy (r-PELD) or conventional PELD under fluoroscopy guidance (f-PELD).
Comparison of Deep Learning and Classical Machine Learning Algorithms to Predict Postoperative Outcomes for Anterior Cervical Discectomy and Fusion Procedures With State-of-the-art Performance.
Spine
Sep 21, 2022
STUDY DESIGN: Retrospective cohort.
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