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Optimizing the Use of Artificial Intelligence in Cardiology in 2024.
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- Author(s): Ellis SG;Ellis SG; Kattan MW; Kattan MW
- Source:
JACC. Cardiovascular interventions [JACC Cardiovasc Interv] 2024 Jul 22; Vol. 17 (14), pp. 1717-1718. Date of Electronic Publication: 2024 Jul 03.
- Publication Type:
Editorial
- Language:
English
- Additional Information
- Source:
Publisher: Elsevier Country of Publication: United States NLM ID: 101467004 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-7605 (Electronic) Linking ISSN: 19368798 NLM ISO Abbreviation: JACC Cardiovasc Interv Subsets: MEDLINE
- Publication Information:
Original Publication: New York : Elsevier
- Subject Terms:
- Abstract:
Competing Interests: Funding Support and Author Disclosures The authors have reported that they have no relationships relevant to the contents of this paper to disclose.
- Contributed Indexing:
Keywords: artificial intelligence; chronic total occlusion; machine learning
- Publication Date:
Date Created: 20240706 Date Completed: 20240725 Latest Revision: 20240725
- Publication Date:
20240726
- Accession Number:
10.1016/j.jcin.2024.05.016
- Accession Number:
38970582
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