Clinical Trial: The Prediction of Recurrence Lumbar Disc Herniation At L5-S1 Level Through Machine Learning Models Based on Endoscopic Discectomy Via the Interlaminar Approach

U.S., Feb. 19 -- ClinicalTrials.gov registry received information related to the study (NCT06833099) titled 'The Prediction of Recurrence Lumbar Disc Herniation At L5-S1 Level Through Machine Learning Models Based on Endoscopic Discectomy Via the Interlaminar Approach' on Feb. 12.

Brief Summary: What Was the Study About? This study focused on improving the care of patients with a specific type of back problem called lumbar disc herniation at the L5-S1 level. Doctors often treat this condition with a minimally invasive surgery known as percutaneous endoscopic interlaminar discectomy (PEID). However, sometimes the herniation (the damaged disc) can come back after surgery. The goal of this study was to develop computer models that help predic...