Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69940, first published .
Implementation of Fully Automated AI-Integrated System for Body Composition Assessment on Computed Tomography for Opportunistic Sarcopenia Screening: Multicenter Prospective Study

Implementation of Fully Automated AI-Integrated System for Body Composition Assessment on Computed Tomography for Opportunistic Sarcopenia Screening: Multicenter Prospective Study

Implementation of Fully Automated AI-Integrated System for Body Composition Assessment on Computed Tomography for Opportunistic Sarcopenia Screening: Multicenter Prospective Study

Journals

  1. Park H, Kim H, Yoo J. AI-Enhanced Lower Extremity X-Ray Segmentation: A Promising Tool for Sarcopenia Diagnosis. Healthcare 2025;13(19):2488 View
  2. Kolenda P, Mardas M, Radomyski P, Trojanowski M, Litwiniuk M, Warchoł W, Stelmach-Mardas M. Body Composition and Survival in Locally Advanced Rectal Cancer Patients Treated with Neoadjuvant Radiochemotherapy. Nutrients 2025;17(20):3309 View
  3. Yu H. Sarcopenia in Interventional Radiology: An Opportunistic Imaging Biomarker for Patient Outcomes and Procedural Planning. Muscles 2025;4(4):55 View
  4. Ferrera-Alayón L, Palmas-Candia F, Salas-Salas B, González-Martín J, Diaz-Saavedra R, Ramos-Ortiz A, Lara P, Lloret Sáez-Bravo M. Development and Internal Evaluation of AI-Assisted Cervical Muscle-Based Scores (FUNC-RISK) in Head and Neck Cancer: A Pilot Study. Cancers 2025;17(24):3968 View
  5. Tamir S, Behar H, Tal R, Jasper R, Armoni M, Aloni H, Orad R, Voet H, Atar E, Grubstein A, Stemmer S, Markel G. CT Body Composition Changes Predict Survival in Immunotherapy-Treated Cancer Patients: A Retrospective Cohort Study. Cancers 2026;18(2):341 View