As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …

Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …

The early identification of vulnerable patients has the potential to improve outcomes but
poses a substantial challenge in clinical practice. This study evaluated the ability of an …

Although artificial intelligence (AI) algorithms have been shown to be capable of identifying
cardiac dysfunction, defined as ejection fraction (EF)≤ 40%, from 12-lead …

Background: Human society has entered the age of artificial intelligence, medical practice
and medical education are undergoing profound changes. Artificial intelligence (AI) is now …

Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …

Anthracyclines can cause cancer therapy-related cardiac dysfunction (CTRCD) that
adversely affects prognosis. Despite guideline recommendations, only half of the patients …

Artificial intelligence (AI), the technique of extracting information from complex database
using sophisticated computer algorithms, has incorporated itself in medical field. AI …

Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-
risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions …

Electrocardiography (ECG), improved by artificial intelligence (AI), has become a potential
technique for the precise diagnosis and treatment of cardiovascular disorders. The …