Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies for Cardiovascular System V: CT

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

Cardiomyopathy V: Interprofessional Care

Cardiomyopathy V: Interprofessional Care

Managing cardiomyopathy involves addressing underlying or precipitating causes, treating heart failure with medications, and implementing dietary changes and a balanced exercise and rest regimen.Lifestyle ModificationsCardiomyopathy patients should adopt a low-sodium diet to reduce fluid retention and manage heart failure. A personalized exercise and rest plan helps maintain physical fitness without overstraining the heart. Avoiding alcohol and tobacco is essential to prevent further damage to...

Cardiomyopathy II: Dilated Cardiomyopathy

Cardiomyopathy II: Dilated Cardiomyopathy

Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Economic-statistical design of synthetic np chart with estimated process parameter.

PloS one·2020

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 17, 2026

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions.

Brian C S Loh¹, Patrick H H Then¹

¹Swinburne University of Technology Sarawak Campus, Kuching, Sarawak, Malaysia.

|November 30, 2017

Summary

Telemedicine and mobile health (mHealth) offer solutions for diagnosing and managing cardiovascular diseases, especially in rural areas. Integrating deep learning enhances these technologies for better heart disease care.

Keywords:

Heart disease computer-aided diagnosis deep learning mHealth machine learning rural healthcare telemedicine

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Related Experiment Videos

Last Updated: Feb 17, 2026

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Area of Science:

Medical Informatics
Artificial Intelligence in Healthcare
Cardiology

Background:

Cardiovascular diseases are a leading global cause of mortality.
Rural areas face significant challenges in healthcare access for diagnosis and treatment.
Telemedicine and mHealth present viable solutions to bridge healthcare gaps.

Purpose of the Study:

To review heart disease diagnosis and management in rural healthcare settings.
To explore the integration of telemedicine, mHealth, and computer-aided diagnosis.
To discuss the application of deep learning in improving cardiovascular healthcare efficacy.

Main Methods:

Review of existing literature on telemedicine, mHealth, and deep learning in cardiology.
Analysis of challenges and solutions for implementing these technologies in rural areas.
Examination of computer-aided diagnosis systems combined with machine and deep learning.

Main Results:

Deep learning integration with telemedicine and mHealth enhances cardiovascular disease diagnosis and management.
These integrated systems offer adaptable solutions for diverse healthcare scenarios.
Successful implementation can significantly improve healthcare efficacy in underserved regions.

Conclusions:

Deep learning-powered telemedicine and mHealth are crucial for advancing cardiovascular care in rural settings.
Addressing implementation challenges is key to maximizing the benefits of these technologies.
The synergy of AI, mHealth, and telemedicine promises more accessible and effective heart disease management.