Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scans.

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Title: Integrating clinical indications and patient demographics for multilabel abnormality classification and automated report generation in 3D chest CT scans.
Authors: Di Piazza T; UCBL, INSA Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France.; Department of Radiology, Croux-Rousse Hospital, Hospices Civils de Lyon, Lyon, France., Lazarus C; Philips Clinical Informatics, Innovation Paris, Paris, France., Nempont O; Philips Clinical Informatics, Innovation Paris, Paris, France., Boussel L; UCBL, INSA Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France.; Department of Radiology, Croux-Rousse Hospital, Hospices Civils de Lyon, Lyon, France.
Source: Frontiers in radiology [Front Radiol] 2025 Oct 24; Vol. 5, pp. 1672364. Date of Electronic Publication: 2025 Oct 24 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9918367586306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-8740 (Electronic) Linking ISSN: 26738740 NLM ISO Abbreviation: Front Radiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2673-8740
DOI:10.3389/fradi.2025.1672364