Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis

J Zhou, M Du, S Chang, Z Chen - Cardiovascular ultrasound, 2021 - Springer
Ultrasound is one of the most important examinations for clinical diagnosis of cardiovascular
diseases. The speed of image movements driven by the frequency of the beating heart is …

Application of wavelet techniques for cancer diagnosis using ultrasound images: a review

VK Sudarshan, MRK Mookiah, UR Acharya… - Computers in biology …, 2016 - Elsevier
Ultrasound is an important and low cost imaging modality used to study the internal organs
of human body and blood flow through blood vessels. It uses high frequency sound waves to …

Early detection of myocardial infarction in low-quality echocardiography

A Degerli, M Zabihi, S Kiranyaz, T Hamid… - IEEE …, 2021 - ieeexplore.ieee.org
Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health
problem worldwide from which 32.4 million people suffer each year. Early diagnosis and …

Artificial intelligence-assisted auscultation of heart murmurs: validation by virtual clinical trial

WR Thompson, AJ Reinisch, MJ Unterberger… - Pediatric …, 2019 - Springer
Artificial intelligence (AI) has potential to improve the accuracy of screening for valvular and
congenital heart disease by auscultation. However, despite recent advances in signal …

Computer-aided diagnosis of myocardial infarction using ultrasound images with DWT, GLCM and HOS methods: a comparative study

KS Vidya, EYK Ng, UR Acharya, SM Chou… - Computers in biology …, 2015 - Elsevier
Myocardial Infarction (MI) or acute MI (AMI) is one of the leading causes of death worldwide.
Precise and timely identification of MI and extent of muscle damage helps in early treatment …

Left ventricular wall motion estimation by active polynomials for acute myocardial infarction detection

S Kiranyaz, A Degerli, T Hamid, R Mazhar… - IEEE …, 2020 - ieeexplore.ieee.org
Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall
motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly …

Harnessing machine intelligence in automatic echocardiogram analysis: Current status, limitations, and future directions

G Zamzmi, LY Hsu, W Li, V Sachdev… - IEEE reviews in …, 2020 - ieeexplore.ieee.org
Echocardiography (echo) is a critical tool in diagnosing various cardiovascular diseases.
Despite its diagnostic and prognostic value, interpretation and analysis of echo images are …

Machine learning quantitation of cardiovascular and cerebrovascular disease: a systematic review of clinical applications

C Boyd, G Brown, T Kleinig, J Dawson, MD McDonnell… - Diagnostics, 2021 - mdpi.com
Research into machine learning (ML) for clinical vascular analysis, such as those useful for
stroke and coronary artery disease, varies greatly between imaging modalities and vascular …

Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases

N Duchateau, M Sermesant… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Collecting large databases of annotated medical images is crucial for the validation and
testing of feature extraction, statistical analysis, and machine learning algorithms. Recent …

Machine learning based heart disease diagnosis using non-invasive methods: A review

N Kumar, D Kumar - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Heart disease is the most dangerous disease among all the non-communicable diseases.
Annually 17900 thousand of peoples die due to heart problems. Cardiovascular disease …