The current era of big data offers a wealth of new opportunities for clinicians to leverage
artificial intelligence to optimize care for pediatric and adult patients with a congenital heart …

The purpose of this literature review is to provide a fundamental synopsis of current research
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …

Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …

Background: To assist healthcare providers in interpreting guidelines, clinical questions
(CQ) are often included, but not always, which can make interpretation difficult for non-expert …

The use of artificial intelligence (AI) in the diagnosis of dry eye disease (DED) remains
limited due to the lack of standardized image formats and analysis models. To overcome …

Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging,
transforming everything from data capture to report generation. In the field of …

Introduction: Echocardiography is widely used because of its portability, high temporal
resolution, absence of radiation, and due to the low-costs. Over the past years …

Echocardiography is an essential tool in diagnostic cardiology and is fundamental to clinical
care. Artificial intelligence (AI) can help health care providers serving as a valuable …

Despite recent advances in imaging for myocardial deformation, left ventricular ejection
fraction (LVEF) is still the most important index for systolic function in daily practice. Its role in …

Background Left ventricular hypertrophy (LVH) is an independent prognostic factor for
cardiovascular events and it can be detected by echocardiography in the early stage. In this …