Radiograph-comparable image synthesis for spine alignment analysis using deep learning with prospective clinical validation.

ABSTRACT:

Background

Adolescent idiopathic scoliosis (AIS) is the most common type of spinal disorder affecting children. Clinical screening and diagnosis require physical and radiographic examinations, which are either subjective or increase radiation exposure. We therefore developed and validated a radiation-free portable system and device utilising light-based depth sensing and deep learning technologies to analyse AIS by landmark detection and image synthesis.

Methods

Consecutive patients with AIS attending two local scoliosis clinics in Hong Kong between October 9, 2019, and May 21, 2022, were recruited. Patients were excluded if they had psychological and/or systematic neural disorders that could influence the compliance of the study and/or the mobility of the patients. For each

SUBMITTER: Meng N 

PROVIDER: S-EPMC10329130 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature