Open-Access Fully Automated Intravenous Contrast Detection and Body Part Classification for Computed Tomography Scans: The FALCON Model.

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Bibliographic Details
Title: Open-Access Fully Automated Intravenous Contrast Detection and Body Part Classification for Computed Tomography Scans: The FALCON Model.
Authors: Westphal JA; Department of Radiology, LMU Munich, Munich, Germany. julian.westphal@campus.lmu.de.; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA. julian.westphal@campus.lmu.de., Kaess P; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM), and TUM University Hospital, Munich, Germany., Mantz L; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.; Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany., Barnawi RA; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA., Saidi S; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM), and TUM University Hospital, Munich, Germany., Fabritius MP; Department of Radiology, LMU Munich, Munich, Germany., Ziller A; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM), and TUM University Hospital, Munich, Germany., Kaissis G; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM), and TUM University Hospital, Munich, Germany., Rueckert D; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM), and TUM University Hospital, Munich, Germany., Fintelmann FJ; Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, 25 Shattuck Street, Boston, MA, 02115, USA.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Feb 26. Date of Electronic Publication: 2026 Feb 26.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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