Latest AI and machine learning research in congestive heart failure for healthcare professionals.
PURPOSE: Differentiating the underlying pathology of macular edema in patients with diabetic retinop...
OBJECTIVES: Congestive heart failure (CHF) is a heart disease with a growing incidence and prevalenc...
Introduction: The determination of tumour extent is a major challenging task in brain tumour plannin...
Hypertrophic cardiomyopathy (HCM) is defined by pathological left ventricular hypertrophy (LVH). It ...
OBJECTIVES: This study sought to determine whether machine learning can be used to better identify p...
PURPOSE: Dilated cardiomyopathy (DCM) is a common form of cardiomyopathy and it is associated with p...
Considering the existing issues of traditional blood pressure (BP) measurement methods and non-invas...
We have attempted to reproduce the results in Development and validation of a deep learning algorith...
Diagnosis and treatment guidance are aided by detecting relevant biomarkers in medical images. Altho...
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...
We consider the problem in precision health of grouping people into subpopulations based on their de...
Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronizati...
BACKGROUND: The management of hypertrophic cardiomyopathy (HCM) patients requires the knowledge of r...
Macular edema is an eye disease that can affect visual acuity. Typical disease symptoms include subr...
Oscillometric blood pressure (BP) monitors currently estimate a single point but do not identify var...
The interpretation of various cardiovascular blood flow abnormalities can be identified using Electr...
The advent of computer graphic processing units, improvement in mathematical models and availability...
Despite the increasing literature on the association of diabetes with inflammation, cardiovascular ...
In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neu...
OBJECTIVES: We sought to validate a deep learning algorithm designed to predict an ejection fraction...
The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming....