Deep learning analysis of ECGs detects Cardiovascular–Kidney–Metabolic syndrome burden in people with diabetes: a report from the Silesia Diabetes-Heart Project

Cardiovascular Diabetology · Published 2026-06-29 · DOI 10.1186/s12933-026-03246-5

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Authors (14)

Oliwia Janota-Sosińska, Qinkai Yu, Krzysztof Irlik, Hanna Kwiendacz, Aleksandra Włosowicz-Momot, Patrycja Pabis, Wiktoria Wójcik, Anna Olejarz, Julia Piaśnik, Uazman Alam, Yalin Zheng, Janusz Gumprecht, Gregory Y. H. Lip, Katarzyna Nabrdalik

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Publication details

Year

2026

Citation

Janota-Sosińska, O., Yu, Q., Irlik, K., et al. (2026). Deep learning analysis of ECGs detects Cardiovascular–Kidney–Metabolic syndrome burden in people with diabetes: a report from the Silesia Diabetes-Heart Project. Cardiovascular Diabetology. https://doi.org/10.1186/s12933-026-03246-5

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