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Cerebral aneurysms and arteriovenous malformations are life-threatening hemodynamic pathologies of the brain. While surgical intervention is often essential to prevent fatal outcomes, it carries significant risks both during the procedure…

Machine Learning · Computer Science 2026-03-17 Irem Topal , Alexander Cherevko , Yuri Bugay , Maxim Shishlenin , Jean Barbier , Deniz Eroglu , Édgar Roldán , Roman Belousov

Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with consistently reliable and high accuracy is still a great…

Computer Vision and Pattern Recognition · Computer Science 2017-05-29 Wufeng Xue , Ali Islam , Mousumi Bhaduri , Shuo Li

Objective. Heart failure is one of the leading causes of death worldwide, with millions of deaths each year, according to data from the World Health Organization (WHO) and other public health agencies. While significant progress has been…

Machine Learning · Computer Science 2026-05-29 Jianzhou Chen , Jinyang Sun , Xiumei Wang , Xi Chen , Heyu Chu , Guo Song , Yuji Luo , Xingping Zhou , Rong Gu

Coronary heart disease, which is a form of cardiovascular disease (CVD), is the leading cause of death worldwide. The odds of survival are good if it is found or diagnosed early. The current report discusses a comparative approach to the…

Computer Vision and Pattern Recognition · Computer Science 2021-12-03 Kelvin Kwakye , Emmanuel Dadzie

Cardiovascular disease (CVD) continues to be the major cause of death globally, calling for predictive models that not only handle diverse and high-dimensional biomedical signals but also maintain interpretability and privacy. We create a…

Machine Learning · Computer Science 2026-01-13 Rohit Kaushik , Eva Kaushik

Coronary heart disease (CHD) is a severe cardiac disease, and hence, its early diagnosis is essential as it improves treatment results and saves money on medical care. The prevailing development of quantum computing and machine learning…

Machine Learning · Computer Science 2024-10-02 Mehroush Banday , Sherin Zafar , Parul Agarwal , M Afshar Alam , Abubeker K M

Background: Coronary angiography (CAG) is a cornerstone imaging modality for assessing coronary artery disease and guiding interventional treatment decisions. However, in real-world clinical settings, angiographic images are often…

Computer Vision and Pattern Recognition · Computer Science 2026-01-23 Jingsong Xia , Siqi Wang

The accuracy of coronary artery disease (CAD) diagnosis is dependent on a variety of factors, including demographic, symptom, and medical examination, ECG, and echocardiography data, among others. In this context, artificial intelligence…

Artificial Intelligence · Computer Science 2023-08-30 Elham Nasarian , Danial Sharifrazi , Saman Mohsenirad , Kwok Tsui , Roohallah Alizadehsani

Cardiac Magnetic Resonance (CMR) imaging is a vital non-invasive tool for diagnosing heart diseases and evaluating cardiac health. However, the limited availability of large-scale, high-quality CMR datasets poses a major challenge to the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-07 Ziyu Li , Yujian Hu , Zhengyao Ding , Yiheng Mao , Haitao Li , Fan Yi , Hongkun Zhang , Zhengxing Huang

Coronary artery disease (CAD) remains the leading cause of death globally and invasive coronary angiography (ICA) is considered the gold standard of anatomical imaging evaluation when CAD is suspected. However, risk evaluation based on ICA…

Cardiac Magnetic Resonance (CMR) is the most effective tool for the assessment and diagnosis of a heart condition, which malfunction is the world's leading cause of death. Software tools leveraging Artificial Intelligence already enhance…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Adrianna Janik , Jonathan Dodd , Georgiana Ifrim , Kris Sankaran , Kathleen Curran

Cardiovascular disease is the leading global cause of mortality, with coronary artery disease (CAD) as its most prevalent form, necessitating early risk prediction. While 3D coronary artery digital twins reconstructed from imaging offer…

Cardiac biosignals, such as electrocardiograms (ECG) and photoplethysmograms (PPG), are of paramount importance for the diagnosis, prevention, and management of cardiovascular diseases, and have been extensively used in a variety of…

Cardiovascular diseases are among the most important causes of global mortality. Computational Fluid Dynamics (CFD) is a powerful research tool that analyzes the hemodynamics of artery and blood flow patterns. In this study, CFD simulations…

Fluid Dynamics · Physics 2023-09-12 Osman Aycan , Adnan Topuz , Lyes Kadem

The point of care services and medication have become simpler with efficient consumer electronics devices in a smart healthcare system. Cardiovascular disease is a critical illness which causes heart failure, and early and prompt…

Computers and Society · Computer Science 2022-12-16 Nidhi Sinha , Teena Jangid , Amit M. Joshi , Saraju P. Mohanty

Coronary Heart Disease affects millions of people worldwide and is a well-studied area of healthcare. There are many viable and accurate methods for the diagnosis and prediction of heart disease, but they have limiting points such as…

Artificial Intelligence · Computer Science 2024-09-24 Jamal Al-Karaki , Philip Ilono , Sanchit Baweja , Jalal Naghiyev , Raja Singh Yadav , Muhammad Al-Zafar Khan

Functionally significant coronary artery disease (CAD) is caused by plaque buildup in the coronary arteries, potentially leading to narrowing of the arterial lumen, i.e. coronary stenosis, that significantly obstructs blood flow to the…

Image and Video Processing · Electrical Eng. & Systems 2023-08-10 Nils Hampe , Sanne G. M. van Velzen , Jean-Paul Aben , Carlos Collet , Ivana Išgum

Implantable Cardiac Monitor (ICM) devices are demonstrating as of today, the fastest-growing market for implantable cardiac devices. As such, they are becoming increasingly common in patients for measuring heart electrical activity. ICMs…

Signal Processing · Electrical Eng. & Systems 2023-07-17 Amnon Bleich , Antje Linnemann , Benjamin Jaidi , Björn H Diem , Tim OF Conrad

We assessed the benefit of combining stress cardiac CT perfusion (CCTP) myocardial blood flow (MBF) with coronary CT angiography (CCTA) using our innovative CCTP software. By combining CCTA and CCTP, one can uniquely identify a flow…

An accurate assessment of the cardiovascular system and prediction of cardiovascular diseases (CVDs) are crucial. Measured cardiac blood flow data provide insights about patient-specific hemodynamics, where many specialized techniques have…