Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …

Purpose To summarize and critically evaluate the existing studies for spinopelvic
measurements of sagittal balance that are based on deep learning (DL). Methods Three …

Efficient and reliable medical image analysis is indispensable in modern healthcare
settings. The conventional approaches in diagnostics and evaluations from a mere picture …

Purpose To propose a fully automated deep learning (DL) framework for the vertebral
morphometry and Cobb angle measurement from three-dimensional (3D) computed …

Scoliosis is a complicated spinal deformity, and millions of people are suffering from this
disease worldwide. Early detection and accurate scoliosis assessment are vital for effective …

Purposes To develop a deep learning (DL) model to measure the sagittal Cobb angle of the
cervical spine on computed tomography (CT). Materials and methods Two VB-Net-based DL …

Traditional manual measurement of Cobb angle is a time-consuming process and leads to
different results. To address this issue, this paper proposes a deep learning-based method …

Abstract Purpose The Lenke classification system is widely utilized as the preoperative
evaluation protocol for adolescent idiopathic scoliosis (AIS). However, manual measurement …

Study design Retrospective, mono-centric cohort research study. Objectives The purpose of
this study is to validate a novel artificial intelligence (AI)-based algorithm against human …

Operational safety at airports has long been a subject of active research, with a growing
focus on the safety of aircraft stands in recent years. The phase during which an aircraft taxi …