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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 D; Department of AI Systems Medicine, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Kaneda R; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Komiya C; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan. komiya.mem@tmd.ac.jp., Ohno S; Department of AI Systems Medicine, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Takeuchi A; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Hara K; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Horino M; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Aoki J; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Okazaki R; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Ishii R; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Murakami M; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Tsujimoto K; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Ikeda K; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan., Katagiri H; Department of Diabetes, Metabolism and Endocrinology, Tohoku University Graduate School of Medicine, Sendai, 980-8575, Japan., Shimizu H; Department of AI Systems Medicine, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, Tokyo, 113-8510, Japan. h_shimizu.dsc@tmd.ac.jp., Yamada T; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.
Source: Cardiovascular diabetology [Cardiovasc Diabetol] 2025 Nov 11; Vol. 24 (1), pp. 415. Date of Electronic Publication: 2025 Nov 11.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101147637 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-2840 (Electronic) Linking ISSN: 14752840 NLM ISO Abbreviation: Cardiovasc Diabetol Subsets: MEDLINE
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  Data: Artificial intelligence identifies individuals with prediabetes using single-lead electrocardiograms.
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  Data: <searchLink fieldCode="AU" term="%22Koga+D%22">Koga D</searchLink>; Department of AI Systems Medicine, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Kaneda+R%22">Kaneda R</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Komiya+C%22">Komiya C</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan. komiya.mem@tmd.ac.jp.<br /><searchLink fieldCode="AU" term="%22Ohno+S%22">Ohno S</searchLink>; Department of AI Systems Medicine, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Takeuchi+A%22">Takeuchi A</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Hara+K%22">Hara K</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Horino+M%22">Horino M</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Aoki+J%22">Aoki J</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Okazaki+R%22">Okazaki R</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Ishii+R%22">Ishii R</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Murakami+M%22">Murakami M</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Tsujimoto+K%22">Tsujimoto K</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Ikeda+K%22">Ikeda K</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.<br /><searchLink fieldCode="AU" term="%22Katagiri+H%22">Katagiri H</searchLink>; Department of Diabetes, Metabolism and Endocrinology, Tohoku University Graduate School of Medicine, Sendai, 980-8575, Japan.<br /><searchLink fieldCode="AU" term="%22Shimizu+H%22">Shimizu H</searchLink>; Department of AI Systems Medicine, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo, Tokyo, 113-8510, Japan. h_shimizu.dsc@tmd.ac.jp.<br /><searchLink fieldCode="AU" term="%22Yamada+T%22">Yamada T</searchLink>; Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, 113-8510, Japan.
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  Data: <searchLink fieldCode="JN" term="%22101147637%22">Cardiovascular diabetology</searchLink> [Cardiovasc Diabetol] 2025 Nov 11; Vol. 24 (1), pp. 415. <i>Date of Electronic Publication: </i>2025 Nov 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101147637 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1475-2840 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214752840%22">14752840 </searchLink><i>NLM ISO Abbreviation: </i>Cardiovasc Diabetol <i>Subsets: </i>MEDLINE
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