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Enhancement of Stress ECG Performance with Machine Learning: A Single-Center Study.

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Bibliographic Details
Title: Enhancement of Stress ECG Performance with Machine Learning: A Single-Center Study.
Authors: Banerjee A; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA., Salian RS; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA., Vemulapalli HS; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA., Sriramoju AK; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA., Prajapati P; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA., Rodriguez-Riascos JF; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA., Muthu P; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA., Iyengar SK; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA., Shen W; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA., Gupta SKS; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA., Srivathsan K; Division of Cardiovascular Diseases, Mayo Clinic Hospital, Phoenix, Arizona, USA. Electronic address: srivathsan.komandoor@mayo.edu.
Source: JACC. Advances [JACC Adv] 2025 Oct; Vol. 4 (10 Pt 2), pp. 102141. Date of Electronic Publication: 2025 Sep 11.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918419284106676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2772-963X (Electronic) Linking ISSN: 2772963X NLM ISO Abbreviation: JACC Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2772-963X
DOI:10.1016/j.jacadv.2025.102141