Phenotypic Selectivity of Artificial Intelligence-Enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction.

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Bibliographic Details
Title: Phenotypic Selectivity of Artificial Intelligence-Enhanced Electrocardiography in Cardiovascular Diagnosis and Risk Prediction.
Authors: Croon PM; Department of Internal Medicine (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Cardiovascular Data Science Lab (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Yale School of Medicine, New Haven, CT (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Department of Cardiology, University of Amsterdam, Amsterdam, the Netherlands (P.M.C.)., Dhingra LS; Department of Internal Medicine (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Cardiovascular Data Science Lab (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Yale School of Medicine, New Haven, CT (P.M.C., L.S.D., D.B., E.K.O., R.K.)., Biswas D; Department of Internal Medicine (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Cardiovascular Data Science Lab (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Yale School of Medicine, New Haven, CT (P.M.C., L.S.D., D.B., E.K.O., R.K.)., Oikonomou EK; Department of Internal Medicine (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Cardiovascular Data Science Lab (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Yale School of Medicine, New Haven, CT (P.M.C., L.S.D., D.B., E.K.O., R.K.)., Khera R; Department of Internal Medicine (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Cardiovascular Data Science Lab (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Section of Biomedical Informatics and Data Science (R.K.).; Yale School of Medicine, New Haven, CT (P.M.C., L.S.D., D.B., E.K.O., R.K.).; Department of Biostatistics, Yale School of Public Health, New Haven, CT (R.K.).; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (R.K.).
Source: Circulation [Circulation] 2025 Nov 04; Vol. 152 (18), pp. 1282-1294. Date of Electronic Publication: 2025 Sep 01.
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0147763 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1524-4539 (Electronic) Linking ISSN: 00097322 NLM ISO Abbreviation: Circulation Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1524-4539
DOI:10.1161/CIRCULATIONAHA.125.076279