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

Journals

  1. Moon J, Cho Y. Reliability analysis of automated Cobb angle measurement using artificial intelligence models in scoliosis patients. Medical Biological Science and Engineering 2025;8(1):14 View
  2. Díaz Moreno A, Cano Alonso R, Fernández Alfonso A, Álvarez Vázquez A, Carrascoso Arranz J, López Alcolea J, García Castellanos D, Sanabria Greciano L, Recio Rodríguez M, Andreu-Vázquez C, Thuissard Vasallo I, Martínez De Vega V. Diagnostic Performance of an Artificial Intelligence Software for the Evaluation of Bone X-Ray Examinations Referred from the Emergency Department. Diagnostics 2025;15(4):491 View
  3. Bottini M, Ryu S, Terander A, Voglis S, Maldaner N, Bellut D, Regli L, Serra C, Staartjes V. The Ever-Evolving Regulatory Landscape Concerning Development and Clinical Application of Machine Intelligence: Practical Consequences for Spine Artificial Intelligence Research. Neurospine 2025;22(1):134 View