Electrocardiographic Signatures of Dysglycaemia: Mechanistic Foundations, Digital Biomarkers, and Artificial Intelligence for Non-Invasive Diabetes Risk Stratification

Diabetes mellitus is projected to affect more than 1.3 billion people worldwide by 2050, with millions remaining undiagnosed or in a prediabetic state. Cardiovascular complications account for nearly half of diabetes-related deaths, highlighting the need for scalable tools capable of identifying met...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Chingiz Alimbayev, Zhadyra Alimbayeva, Kassymbek Ozhikenov, Kairat Karibayev, Zhansila Orynbay, Yerbolat Igembay, Madiyar Daniyalov, Akzhol Nurdanali
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
Colecção:	Applied Sciences
Assuntos:	dysglycaemia diabetes mellitus electrocardiography QTc prolongation heart rate variability artificial intelligence
Acesso em linha:	https://www.mdpi.com/2076-3417/16/6/2902
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!