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Artificial intelligence identifies individuals with prediabetes using single-lead electrocardiograms.

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Title: Artificial intelligence identifies individuals with prediabetes using single-lead electrocardiograms.
Authors: Koga, Daisuke1 (AUTHOR), Kaneda, Ryo2 (AUTHOR), Komiya, Chikara2 (AUTHOR) komiya.mem@tmd.ac.jp, Ohno, Satoshi1 (AUTHOR), Takeuchi, Akira2 (AUTHOR), Hara, Kazunari2 (AUTHOR), Horino, Masato2 (AUTHOR), Aoki, Jun2 (AUTHOR), Okazaki, Rei2 (AUTHOR), Ishii, Ryoko2 (AUTHOR), Murakami, Masanori2 (AUTHOR), Tsujimoto, Kazutaka2 (AUTHOR), Ikeda, Kenji2 (AUTHOR), Katagiri, Hideki3 (AUTHOR), Shimizu, Hideyuki1 (AUTHOR) h_shimizu.dsc@tmd.ac.jp, Yamada, Tetsuya2 (AUTHOR)
Source: Cardiovascular Diabetology. 11/11/2025, Vol. 24 Issue 1, p1-13. 13p. 3 Charts, 5 Graphs.
Database: Academic Search Ultimate
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  Data: Artificial intelligence identifies individuals with prediabetes using single-lead electrocardiograms.
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  Data: <searchLink fieldCode="JN" term="%22Cardiovascular+Diabetology%22">Cardiovascular Diabetology</searchLink>. 11/11/2025, Vol. 24 Issue 1, p1-13. 13p. 3 Charts, 5 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191336536
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        Value: 10.1186/s12933-025-02982-4
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              Text: 11/11/2025
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