U.S., July 24 -- ClinicalTrials.gov registry received information related to the study (NCT07723053) titled 'Machine Learning-Guided LIV Selection for Adolescent Idiopathic Scoliosis' on July 19.
Brief Summary: This study will evaluate whether a machine learning-based decision support model, called the Drum Tower Rule, can help surgeons select the lowest instrumented vertebra during corrective surgery for adolescent idiopathic scoliosis.
Patients with Lenke type 1 or Lenke type 5 adolescent idiopathic scoliosis who are scheduled for posterior spinal fusion will be randomly assigned to one of two groups. In the model-guided group, surgeons will receive the model-predicted risk of postoperative distal adding-on and a recommendation for lowe...