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How Echo IQ Transforms Heart Disease Diagnosis with Cutting-Edge AI

Cassling

What does the future of heart disease detection look like? EchoSolv, the groundbreaking AI platform developed by Echo IQ, is revolutionizing the detection of aortic stenosis. EchoSolv, the groundbreaking AI platform developed by Echo IQ, is revolutionizing the detection of aortic stenosis.

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Reinterventions in patients with congenital aortic stenosis and a commissurotomy

Open Heart

Background In congenital aortic stenosis (CAS), commissurotomy is an option in patients not suitable to receive a valve prosthesis. However, there is often a need for future additional interventions on the aortic valve. The fate of the aortic valve is, however, essentially unknown. males) were identified.

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Peripandemic outcomes of infants treated for sentinel congenital heart diseases in England and Wales

Open Heart

Background Infants with congenital heart disease (CHD) are clinically vulnerable to cardiac deteriorations and intercurrent infections. We aimed to quantify the impact of health system disruptions during the COVID-19 pandemic, on their clinical outcomes and whether these differed by socioeconomic and ethnic subgroups.

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New Technology Promises to Revolutionize Valvular Heart Disease Care

DAIC

Getty Images milla1cf Mon, 04/01/2024 - 08:21 April 1, 2024 — Roughly 25,000 Americans die each year from valvular heart disease, but researchers from Rutgers Health and other institutions conclude that new technology could soon help doctors slash that number. “We What is Valvular Heart Disease?

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Three Researchers Awarded $1 million Each to Study New Heart Disease Treatments, Causes

DAIC

These are true innovators who propose novel approaches to major research challenges in the areas of heart disease, stroke and brain health. Loscalzo’s research will focus on the link between heart disease and certain foods, or chemicals naturally contained in foods.

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Sarcopenia and aortic valve disease

Heart BMJ

Valvular heart disease, including calcific or degenerative aortic stenosis (AS), is increasingly prevalent among the older adult population. Over the last few decades, treatment of severe AS has been revolutionised following the development of transcatheter aortic valve replacement (TAVR).

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Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort

Frontiers in Cardiovascular Medicine

Objective This study aims to assess the ability of state-of-the-art machine learning algorithms to detect valvular heart disease (VHD) from digital heart sound recordings in a general population that includes asymptomatic cases and intermediate stages of disease progression.