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

Saved in:
Bibliographic Details
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
Database: MEDLINE Ultimate
Description
ISSN:1475-2840
DOI:10.1186/s12933-025-02982-4