Artificial Intelligence-Enabled Serial Electrocardiograms for Prediction of All-Cause Mortality in Secondary Care Settings.
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| Title: | Artificial Intelligence-Enabled Serial Electrocardiograms for Prediction of All-Cause Mortality in Secondary Care Settings. |
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| Authors: | Tsaban G; Cardiology Department, Soroka University Medical Center, Beersheva, Israel; Faculty of Health Sciences, Ben Gurion University of the Negev, Beersheva, Israel. Electronic address: tsabang@post.bgu.ac.il., Harari A; Faculty of Health Sciences, Ben Gurion University of the Negev, Beersheva, Israel; Faculty of Computer and Information Science, Ben Gurion University of the Negev, Beersheva, Israel., Shiloh A; Clinical Research Center, Soroka University Medical Center, Beersheva, Israel., Shamia D; Cardiology Department, Soroka University Medical Center, Beersheva, Israel., Rokach L; Faculty of Computer and Information Science, Ben Gurion University of the Negev, Beersheva, Israel., Gordon M; Clinical Research Center, Soroka University Medical Center, Beersheva, Israel., Haim M; Cardiology Department, Soroka University Medical Center, Beersheva, Israel; Faculty of Health Sciences, Ben Gurion University of the Negev, Beersheva, Israel., Katz G; Faculty of Computer and Information Science, Ben Gurion University of the Negev, Beersheva, Israel. |
| Source: | JACC. Advances [JACC Adv] 2026 Jun 17; Vol. 5 (7), pp. 102875. Date of Electronic Publication: 2026 Jun 17. |
| 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 |
| Database: | MEDLINE Ultimate |
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