Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review

R Khera, EK Oikonomou, GN Nadkarni… - Journal of the American …, 2024 - jacc.org
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …

Artificial Intelligence for Cardiovascular Care—Part 1: Advances: JACC Review Topic of the Week

P Elias, SS Jain, T Poterucha, M Randazzo… - Journal of the American …, 2024 - jacc.org
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …

[HTML][HTML] Charting the unseen: How non-invasive imaging could redefine cardiovascular prevention

G Trimarchi, F Pizzino, U Paradossi, IA Gueli… - Journal of …, 2024 - mdpi.com
Cardiovascular diseases (CVDs) remain a major global health challenge, leading to
significant morbidity and mortality while straining healthcare systems. Despite progress in …

Degenerative mitral regurgitation

V Delgado, N Ajmone Marsan, RO Bonow… - Nature Reviews …, 2023 - nature.com
Degenerative mitral regurgitation is a major threat to public health and affects at least 24
million people worldwide, with an estimated 0.88 million disability-adjusted life years and …

Artificial intelligence in cardiovascular medicine: clinical applications

TF Lüscher, FA Wenzl, F D'Ascenzo… - European heart …, 2024 - academic.oup.com
Clinical medicine requires the integration of various forms of patient data including
demographics, symptom characteristics, electrocardiogram findings, laboratory values …

A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression

EK Oikonomou, G Holste, N Yuan, A Coppi… - JAMA …, 2024 - jamanetwork.com
Importance Aortic stenosis (AS) is a major public health challenge with a growing
therapeutic landscape, but current biomarkers do not inform personalized screening and …

[HTML][HTML] Designing medical artificial intelligence systems for global use: Focus on interoperability, scalability, and accessibility

EK Oikonomou, R Khera - Hellenic Journal of Cardiology, 2024 - Elsevier
Advances in artificial intelligence (AI) and machine learning systems promise faster, more
efficient, and more personalized care. While many of these models are built on the premise …

[HTML][HTML] Revolutionizing cardiac imaging: A scoping review of artificial intelligence in echocardiography, CTA, and cardiac MRI

A Moradi, OO Olanisa, T Nzeako, M Shahrokhi… - Journal of …, 2024 - mdpi.com
Background and Introduction: Cardiac imaging is crucial for diagnosing heart disorders.
Methods like X-rays, ultrasounds, CT scans, and MRIs provide detailed anatomical and …

Detecting heart disease from multi-view ultrasound images via supervised attention multiple instance learning

Z Huang, BS Wessler… - Machine Learning for …, 2023 - proceedings.mlr.press
Aortic stenosis (AS) is a degenerative valve condition that causes substantial morbidity and
mortality. This condition is under-diagnosed and under-treated. In clinical practice, AS is …

Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive …

E Stamate, AI Piraianu, OR Ciobotaru, R Crassas… - Diagnostics, 2024 - mdpi.com
Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …