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Publication Name World Journal of Cardiology
Manuscript ID 119266
Country Qatar
Category Cardiac & Cardiovascular Systems
Manuscript Type Letter to the Editor
Article Title Do we need an artificial intelligence-assisted electrocardiographic tool to diagnose diabetes mellitus or to predict its unseen cardiovascular consequences?
Manuscript Source Invited Manuscript
All Author List Ayman El-Menyar
Funding Agency and Grant Number
Corresponding Author Ayman El-Menyar, Department of Surgery, Hamad Medical Corporation, Al-Rayyan Street, Doha 3050, Qatar. aymanco65@yahoo.com
Key Words Diabetes mellitus; Electrocardiography; Artificial intelligence-assisted; Diagnostic tool; Machine learning; Cardiovascular; Photoplethysmography; Electrocardiographic
Core Tip Diabetes mellitus (DM) has a significant negative impact on the global health. The most dramatic complications of diabetes include the microvascular damage that can start years before the diagnosis of type 2 diabetes (T2DM) is made; therefore, early screening is of utmost value. Moreover, subclinical electrocardiographic (ECG) changes are common in patients with T2DM without evident cardiac disease. A simple, easily accessible tool for early detection or prediction of cardiac dysfunction in DM or in people at risk is more valuable than merely distinguishing healthy individuals from those with diabetes or type 1 diabetes from T2DM. A single-lead ECG, especially with artificial intelligence, can red-flagging risk and help bridge some gaps in predicting event risk. However, this study needs validation with a precise aim to predict high-risk diabetics and not only to diagnose DM.
Citation El-Menyar A. Do we need an artificial intelligence-assisted electrocardiographic tool to diagnose diabetes mellitus or to predict its unseen cardiovascular consequences? World J Cardiol 2026; In press
Received
2026-01-23 02:56
Peer-Review Started
2026-01-23 02:57
First Decision by Editorial Office Director
2026-01-28 08:40
Return for Revision
2026-01-28 08:40
Revised
2026-02-02 19:43
Publication Fee Transferred
Second Decision by Editor
2026-02-24 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-24 09:30
Articles in Press
2026-02-24 09:30
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1949-8462 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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