Precision medicine and the future of cardiovascular diseases: a clinically oriented comprehensive review

Y Sethi, N Patel, N Kaka, O Kaiwan, J Kar… - Journal of clinical …, 2023 - mdpi.com
Cardiac diseases form the lion's share of the global disease burden, owing to the paradigm
shift to non-infectious diseases from infectious ones. The prevalence of CVDs has nearly …

[HTML][HTML] The role of artificial intelligence in prediction, risk stratification, and personalized treatment planning for congenital heart diseases

SN Mohsin, A Gapizov, C Ekhator, NU Ain, S Ahmad… - Cureus, 2023 - ncbi.nlm.nih.gov
This narrative review delves into the potential of artificial intelligence (AI) in predicting,
stratifying risk, and personalizing treatment planning for congenital heart disease (CHD) …

[HTML][HTML] An intelligent Medical Cyber–Physical System to support heart valve disease screening and diagnosis

G Tartarisco, G Cicceri, R Bruschetta, A Tonacci… - Expert Systems with …, 2024 - Elsevier
Cardiovascular diseases are currently the major causes of death globally. Among the
strategies to prevent cardiovascular issues, the automated classification of heart sound …

The role of artificial intelligence in improving patient outcomes and future of healthcare delivery in cardiology: a narrative review of the literature

D Gala, H Behl, M Shah, AN Makaryus - Healthcare, 2024 - mdpi.com
Cardiovascular diseases exert a significant burden on the healthcare system worldwide.
This narrative literature review discusses the role of artificial intelligence (AI) in the field of …

Improving dental implant outcomes: CNN-based system accurately measures degree of peri-implantitis damage on periapical film

YC Chen, MY Chen, TY Chen, ML Chan, YY Huang… - Bioengineering, 2023 - mdpi.com
As the popularity of dental implants continues to grow at a rate of about 14% per year, so do
the risks associated with the procedure. Complications such as sinusitis and nerve damage …

Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence–Enabled ECGs

S Anjewierden, D O'Sullivan, KE Mangold… - Journal of the …, 2024 - ahajournals.org
Background Early detection of left and right ventricular systolic dysfunction (LVSD and
RVSD respectively) in children can lead to intervention to reduce morbidity and death …

Pediatric ECG-based deep learning to predict left ventricular dysfunction and remodeling

J Mayourian, WG La Cava, A Vaid, GN Nadkarni… - Circulation, 2024 - Am Heart Assoc
BACKGROUND: Artificial intelligence–enhanced ECG analysis shows promise to detect
ventricular dysfunction and remodeling in adult populations. However, its application to …

Presurgery and postsurgery: advancements in artificial intelligence and machine learning models for enhancing patient management in infective endocarditis

RM Odat, MDM Marsool, D Nguyen… - … Journal of Surgery, 2024 - journals.lww.com
Infective endocarditis (IE) is a severe infection of the inner lining of the heart, known as the
endocardium. It is characterized by a range of symptoms and has a complicated pattern of …

Exploring the Potential of Artificial Intelligence in Pediatric Echocardiography—Preliminary Results from the First Pediatric Study Using AI Software Developed for …

CM Vasile, XP Bouteiller, M Avesani, C Velly… - Journal of Clinical …, 2023 - mdpi.com
(1) Background: Transthoracic echocardiography is the first-line non-invasive investigation
for assessing pediatric patients' cardiac anatomy, physiology, and hemodynamics, based on …

Evolving Role of Three-Dimensional Echocardiography for Right Ventricle Volume Analysis in Pediatric Heart Disease: Literature Review and Clinical Applications

AM Ferraro, DM Harrild, AJ Powell, PT Levy… - Journal of the American …, 2024 - Elsevier
Accurate knowledge of right ventricle (RV) volumes and ejection fraction is fundamental to
providing optimal care for pediatric patients with congenital and acquired heart disease, as …