WDRIV-Net: a weighted ensemble transfer learning to improve automatic type stratification of lumbar intervertebral disc bulge, prolapse, and herniation.

The degeneration of the intervertebral discs in the lumbar spine is the common cause of neurological and physical dysfunctions and chronic disability of patients, which can be stratified into single-(e.g., disc herniation, prolapse, or bulge) and comorbidity-type degeneration (e.

Development of a predictive model for 1-year postoperative recovery in patients with lumbar disk herniation based on deep learning and machine learning.

Background: The aim of this study is to develop a predictive model utilizing deep learning and machine learning techniques that will inform clinical decision-making by predicting the 1-year postoperative recovery of patients with lumbar disk herniation.

Methods: The clinical data of 470 inpatients who underwent tubular microdiscectomy (TMD) between January 2018 and January 2021 were retrospectively analyzed as variables. The dataset was randomly divided into a training set ( = 329) and a test set ( = 141) using a 10-fold cross-validation technique.

Computerised modified paramedian approach technique versus conventional midline approach technique of lumbar puncture: a randomised control trial protocol.

Introduction: The lumbar puncture (LP) technique is widely used for diagnostic and therapeutic purposes. In recent years, the paramedian approach technique (PAT) has gained increasing interest due to its advantages over the conventional midline approach technique (MAT) that has been traditionally employed in clinical practice for LP. However, there have been inconsistent discussions regarding the efficacy of different LP techniques.

Computer-modified paramedian approach technique reduces failures and alleviates pain in lumbar puncture: a prospective comparative study.

Background: The conventional midline approach for lumbar puncture (MAT-LP) has a relatively low success rate of 70%. The paramedian approach can increase the effective puncture area and success rate but lacks standardized guidelines. This study evaluated a computer-modified paramedian approach technique (CMPAT) to optimize lumbar puncture using computational techniques.