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

Non-randomized Protocols and Methods (ehealth) (741) Imaging Informatics (348) Machine Learning (2293) Artificial Intelligence (2436) Medical imaging (143) Cardiac Diagnostics (37)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77030, first published .
AI-Based Algorithm to Detect Heart and Lung Disease From Acute Chest Computed Tomography Scans: Protocol for an Algorithm Development and Validation Study

AI-Based Algorithm to Detect Heart and Lung Disease From Acute Chest Computed Tomography Scans: Protocol for an Algorithm Development and Validation Study

AI-Based Algorithm to Detect Heart and Lung Disease From Acute Chest Computed Tomography Scans: Protocol for an Algorithm Development and Validation Study

Authors of this article:

Anne Sophie Overgaard Olesen1 Author Orcid Image ;   Kristina Miger1 Author Orcid Image ;   Silas Nyboe Ørting2 Author Orcid Image ;   Jens Petersen2 Author Orcid Image ;   Marleen de Bruijne2 Author Orcid Image ;   Mikael Ploug Boesen3 Author Orcid Image ;   Michael Brun Andersen4 Author Orcid Image ;   Johannes Grand5 Author Orcid Image ;   Jens Jakob Thune1 Author Orcid Image ;   Olav Wendelboe Nielsen6 Author Orcid Image
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Journals

  1. Zuo L, Zhu N, Wang B, Li D, Fan J, Fan Z, Shang Y, Wang Y, Xu L, Zhou P, Cai W, Yu D. Deep Learning–Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study. JMIR Aging 2026;9:e78243 View
  2. Miger K, Ørting S, Overgaard Olesen A, Grand J, Ploug Boesen M, Brun Andersen M, Petersen J, Thune J, de Bruijne M, Nielsen O. Artificial intelligence for detecting acute heart failure on chest CT: prospective clinical proof-of-concept validation. European Radiology Experimental 2026;10(1) View