The role of artificial intelligence in echocardiography

T Barry, JM Farina, CJ Chao, C Ayoub, J Jeong… - Journal of …, 2023 - mdpi.com
Echocardiography is an integral part of the diagnosis and management of cardiovascular
disease. The use and application of artificial intelligence (AI) is a rapidly expanding field in …

[HTML][HTML] Artificial intelligence for the echocardiographic assessment of valvular heart disease

R Nedadur, B Wang, W Tsang - Heart, 2022 - heart.bmj.com
Developments in artificial intelligence (AI) have led to an explosion of studies exploring its
application to cardiovascular medicine. Due to the need for training and expertise, one area …

Artificial intelligence in congenital heart disease: current state and prospects

PN Jone, A Gearhart, H Lei, F Xing, J Nahar… - JACC: Advances, 2022 - jacc.org
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 …

[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology

M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …

Embracing AI: the imperative tool for echo labs to stay ahead of the curve

CM Vasile, X Iriart - Diagnostics, 2023 - mdpi.com
Advancements in artificial intelligence (AI) have rapidly transformed various sectors, and the
field of echocardiography is no exception. AI-driven technologies hold immense potential to …

Echocardiographic advances in dilated cardiomyopathy

A Faggiano, C Avallone, D Gentile… - Journal of Clinical …, 2021 - mdpi.com
Although the overall survival of patients with dilated cardiomyopathy (DCM) has improved
significantly in the last decades, a non-negligible proportion of DCM patients still shows an …

[HTML][HTML] Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects

DB Olawade, N Aderinto, G Olatunji, E Kokori… - Journal of Medicine …, 2024 - Elsevier
Using Artificial intelligence technologies in cardiology has witnessed rapid advancements
across various domains, fostering innovation and reshaping clinical practices. The study …

Cardiac microstructural alterations measured by echocardiography identify sex-specific risk for heart failure

A Kwan, E Demosthenes, G Salto, D Ouyang… - Heart, 2022 - heart.bmj.com
Objective Established preclinical imaging assessments of heart failure (HF) risk are based
on macrostructural cardiac remodelling. Given that microstructural alterations may also …

Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms

S Kim, HB Park, J Jeon, R Arsanjani, R Heo… - … International Journal of …, 2022 - Springer
We aimed to compare the segmentation performance of the current prominent deep learning
(DL) algorithms with ground-truth segmentations and to validate the reproducibility of the …

Deep Learning Analysis With Gray Scale and Doppler Ultrasonography Images to Differentiate Graves' Disease

HS Baek, J Kim, C Jeong, J Lee, J Ha… - The Journal of …, 2024 - academic.oup.com
Context Thyrotoxicosis requires accurate and expeditious differentiation between Graves'
disease (GD) and thyroiditis to ensure effective treatment decisions. Objective This study …