This paper is in the following e-collection/theme issue:

Artificial Intelligence (1341) mHealth for Rehabilitation (258) Decision Support for Health Professionals (1167) mHealth for Diagnosis (57) Clinical Informatics (1002)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50631, first published .
Use of Artificial Intelligence in Cobb Angle Measurement for Scoliosis: Retrospective Reliability and Accuracy Study of a Mobile App

Use of Artificial Intelligence in Cobb Angle Measurement for Scoliosis: Retrospective Reliability and Accuracy Study of a Mobile App

Use of Artificial Intelligence in Cobb Angle Measurement for Scoliosis: Retrospective Reliability and Accuracy Study of a Mobile App

Authors of this article:

Haodong Li1 Author Orcid Image ;   Chuang Qian1 Author Orcid Image ;   Weili Yan1 Author Orcid Image ;   Dong Fu1 Author Orcid Image ;   Yiming Zheng1 Author Orcid Image ;   Zhiqiang Zhang1 Author Orcid Image ;   Junrong Meng1 Author Orcid Image ;   Dahui Wang1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually