Early auxiliary diagnosis model for chest pain triad based on artificial intelligence multimodal fusion.

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Bibliographic Details
Title: Early auxiliary diagnosis model for chest pain triad based on artificial intelligence multimodal fusion.
Authors: Tang J; Department of Information, Daping Hospital, Army Medical University, Chongqing 400042, China., Chen F; Department of Intensive Care Unit, Daping Hospital, Army Medical University, Chongqing 400042, China., Wu D; Department of Information, Daping Hospital, Army Medical University, Chongqing 400042, China.
Source: JAMIA open [JAMIA Open] 2025 Oct 01; Vol. 8 (5), pp. ooaf114. Date of Electronic Publication: 2025 Oct 01 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2574-2531
DOI:10.1093/jamiaopen/ooaf114