Using deep transfer learning to detect scoliosis and spondylolisthesis from X-ray images

M Fraiwan, Z Audat, L Fraiwan, T Manasreh - Plos one, 2022 - journals.plos.org
Recent years have witnessed wider prevalence of vertebral column pathologies due to
lifestyle changes, sedentary behaviors, or injuries. Spondylolisthesis and scoliosis are two of …

Artificial Intelligence in Scoliosis: Current Applications and Future Directions

H Zhang, C Huang, D Wang, K Li, X Han… - Journal of Clinical …, 2023 - mdpi.com
Scoliosis is a three-dimensional deformity of lateral bending and rotation of the spine.
Artificial intelligence (AI) is a set of theories and techniques for studying artificial intelligence …

Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances

S Lee, JY Jung, A Mahatthanatrakul, JS Kim - Neurospine, 2024 - e-neurospine.org
Artificial intelligence (AI) is transforming spinal imaging and patient care through automated
analysis and enhanced decision-making. This review presents a clinical task-based …

Deep learning model to classify and monitor idiopathic scoliosis in adolescents using a single smartphone photograph

T Zhang, C Zhu, Y Zhao, M Zhao, Z Wang… - JAMA Network …, 2023 - jamanetwork.com
Importance Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal
disorder. Routine physical examinations by trained personnel are critical to diagnose …

A deep convolutional neural network to predict the curve progression of adolescent idiopathic scoliosis: a pilot study

Y Yahara, M Tamura, S Seki, Y Kondo… - BMC musculoskeletal …, 2022 - Springer
Background Adolescent idiopathic scoliosis (AIS) is a three-dimensional spinal deformity
that predominantly occurs in girls. While skeletal growth and maturation influence the …

An intelligent composite model incorporating global/regional X-rays and clinical parameters to predict progressive adolescent idiopathic scoliosis curvatures and …

H Wang, T Zhang, C Zhang, L Shi, SYL Ng, HC Yan… - …, 2023 - thelancet.com
Background Adolescent idiopathic scoliosis (AIS) affects up to 5% of the population. The
efficacy of school-aged screening remains controversial since it is uncertain which …

Regional disparity in epidemiological characteristics of adolescent scoliosis in China: data from a screening program

J Huang, X Zhou, X Li, H Guo, Y Yang… - Frontiers in Public …, 2022 - frontiersin.org
Objective We investigated regional disparities in rates of scoliosis among adolescents in
western and eastern China and the dominant factors underlying these disparities. Methods …

A multi-stage ensemble network system to diagnose adolescent idiopathic scoliosis

C Wu, G Meng, J Lian, J Xu, M Gao, C Huang… - European …, 2022 - Springer
Objectives To develop a deep learning algorithm to automatically evaluate and diagnose
scoliosis on full spinal X-ray images. Methods This retrospective study collected full spinal X …

Current models to understand the onset and progression of scoliotic deformities in adolescent idiopathic scoliosis: a systematic review

AR Meiring, EP de Kater, A Stadhouder, BJ van Royen… - Spine Deformity, 2023 - Springer
Purpose To create an updated and comprehensive overview of the modeling studies that
have been done to understand the mechanics underlying deformities of adolescent …

Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence

SN Goldman, AT Hui, S Choi, EK Mbamalu, P Tirabady… - Spine Deformity, 2024 - Springer
Purpose Adolescent idiopathic scoliosis (AIS) is a common spinal deformity with varying
progression, complicating treatment decisions. Artificial intelligence (AI) and machine …