Machine learning for clinical decision-making: challenges and opportunities in cardiovascular imaging
The use of machine learning (ML) approaches to target clinical problems is called to
revolutionize clinical decision-making in cardiology. The success of these tools is dependent …
revolutionize clinical decision-making in cardiology. The success of these tools is dependent …
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review
VS de Siqueira, MM Borges, RG Furtado… - Artificial intelligence in …, 2021 - Elsevier
The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …
analysis is largely dependent on the physician's experience. In this regard, artificial …
[HTML][HTML] Review on machine learning and deep learning-based heart disease classification and prediction
S Deepika, N Jaisankar - The Open …, 2023 - openbiomedicalengineeringjournal …
Coronary Heart disease is the major factor for people's deaths throughout the world, and it is
necessary to detect and predict the disease in the earlier stages because time plays a vital …
necessary to detect and predict the disease in the earlier stages because time plays a vital …
Deep learning supported echocardiogram analysis: A comprehensive review
G Sanjeevi, U Gopalakrishnan… - Artificial Intelligence in …, 2024 - Elsevier
An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …
Robotic Arm Assisted Multiple Apical-View 3D Fusion of Echocardiography for Enhanced Right and Left Ventricular Assessment and Measurement
KW Alquwaynim - 2024 - era.library.ualberta.ca
Methods: This study used datasets from the Mazankowski Alberta Heart Institute, including
20 echocardiographic scans (15 healthy volunteers and five patients), approved by the …
20 echocardiographic scans (15 healthy volunteers and five patients), approved by the …
Deep Learning-Based Classification of Echocardiographic Perspectives: Emphasis on Parasternal Long Axis and Apical 4 Chamber for Mitral Valve Assessment
Mitral valve disorders necessitate precise diagnosis, often relying on accurate interpretation
of echocardiographic views. This study investigates the potential of automating the …
of echocardiographic views. This study investigates the potential of automating the …