World Journal of Cardiology - Baishideng Publishing Group

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For:	Karbovskaya AD, Marzoog BA, Stroeva A, Suvorov A, Chomakhidze P, Gognieva D, Kuznetsova N, Syrkin A, Fadeev VV, Ismailova SM, Poluboyarinova IV, Kopylov P. Machine learning-based detection of diabetes mellitus from single-lead electrocardiography: A phenotype-stratified approach. World J Cardiol 2026; 18(3): 116217 [DOI: 10.4330/wjc.v18.i3.116217]
URL:	https://www.wjgnet.com/1949-8462/full/v18/i3/116217.htm

Number	Citing Articles
1	Wen-Hua Song, Xing-Liang Wu, Gary Tse, Tong Liu. Advances in the application of artificial intelligence-enhanced electrocardiogram to non-cardiovascular diseases. World Journal of Cardiology 2026; 18(7): 119678 doi: 10.4330/wjc.119678 Abstract(11) \| Core Tip(18) \| Full Article(HTML)(42) \| Full Article (PDF)-1409K(10) \| Full Article with Cover (PDF)-1779K(3) \| Full Article (XML)-114K(5) \| Audio-644K(1) \| Peer-Review Report-261K(8) \| Answering Reviewers-130K(8) \| Times Cited (0) \| Total Visits (72) \| Open
2	Mehrnaz Azarian. Hearing diabetes in a one-minute electrocardiogram: Why phenotype-stratified machine learning may outperform one-size-fits-all screening. World Journal of Cardiology 2026; 18(7): 119396 doi: 10.4330/wjc.119396 Abstract(21) \| Core Tip(16) \| Full Article(HTML)(81) \| Full Article (PDF)-410K(9) \| Full Article with Cover (PDF)-766K(5) \| Full Article (XML)-82K(6) \| Audio-823K(0) \| Peer-Review Report-207K(12) \| Answering Reviewers-240K(10) \| Times Cited (0) \| Total Visits (115) \| Open