AIMC Topic: Scoliosis
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Clinical and economic effectiveness of Schroth therapy in adolescent idiopathic scoliosis: insights from a machine learning- and active learning-based real-world study.
Journal of orthopaedic surgery and research
May 27, 2025
BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal condition affecting approximately 2-3% of the adolescent population. Although exercise-based therapeutic interventions are increasingly employed as non-surgical alternat...
Artificial Intelligence Promotes the Dunning Kruger Effect: Evaluating ChatGPT Answers to Frequently Asked Questions About Adolescent Idiopathic Scoliosis.
The Journal of the American Academy of Orthopaedic Surgeons
May 1, 2025
INTRODUCTION: Patients have long turned to the Internet for answers to common medical questions. As the ability to access information evolves beyond standard search engines, patients with adolescent idiopathic scoliosis (AIS) and their parents may us...
Vertebrae Segmentation with Generative Adversarial Networks for Automatic Cobb Angle Measurement.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Scoliosis is a lateral deformity of the spine, usually diagnosed in patients with a Cobb angle (CA) greater than 10°. Accurate measurements of the CA are necessary for timely intervention and subsequent effective treatment of scoliosis. However, the ...
EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
In clinical settings, the screening, diagnosis, and monitoring of adolescent idiopathic scoliosis (AIS) typically involve physical or radiographic examinations. However, physical examinations are subjective, while radiographic examinations expose pat...
[Application of Deep Learning to Diagnose and Classify Adolescent Idiopathic Scoliosis].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Mar 30, 2024
A deep learning-based model for automatic diagnosis and classification of adolescent idiopathic scoliosis has been constructed. This model mainly included key points detection and Cobb angle measurement. 748 full-length standing spinal X-ray images w...
Clinical Application of Automatic Assessment of Scoliosis Cobb Angle Based on Deep Learning.
Current medical imaging
Jan 1, 2024
INTRODUCTION: A recently developed deep-learning-based automatic evaluation model provides reliable and efficient Cobb angle measurements for scoliosis diagnosis. However, few studies have explored its clinical application, and external validation is...
Validation of an artificial intelligence-based method to automate Cobb angle measurement on spinal radiographs of children with adolescent idiopathic scoliosis.
European journal of physical and rehabilitation medicine
Aug 1, 2023
BACKGROUND: Accurately measuring the Cobb angle on radiographs is crucial for diagnosis and treatment decisions for adolescent idiopathic scoliosis (AIS). However, manual Cobb angle measurement is time-consuming and subject to measurement variation, ...
[Accuracy and safety of robot assisted pedicle screw placement].
Zhongguo gu shang = China journal of orthopaedics and traumatology
Feb 25, 2022
OBJECTIVE: To investigate the accuracy and safety of pedicle screw placement assisted by orthopedic robot and C-arm fluoroscopy.
[Study on robot-assisted pedicle screw implantation in adolescent idiopathic scoliosis surgery].
Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Nov 15, 2021
OBJECTIVE: To investigate the safety and accuracy of robot-assisted pedicle screw implantation in the adolescent idiopathic scoliosis (AIS) surgery.
Machine Learning Predicts the 3D Outcomes of Adolescent Idiopathic Scoliosis Surgery Using Patient-Surgeon Specific Parameters.
Spine
May 1, 2021
STUDY DESIGN: Retrospective descriptive, multicenter study.
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