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

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

You might also read

Related Articles

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

Sort by

Same author

Optimizing single-lead ECG axis for AI-based detection of myocardial diseases.

NPJ cardiovascular health·2026

Same author

Convolutional Neural Network Models Leverage Morphological Rather Than Temporal Features to Detect Myocardial Diseases From 12-Lead Electrocardiograms.

Circulation. Arrhythmia and electrophysiology·2025

Same author

Software-driven chronic disease management: Algorithm design and implementation in a community-based blood pressure control pilot.

SAGE open medicine·2024

Same author

Artificial Intelligence and Health Equity: Opportunities and Obstacles.

JACC. Advances·2024

Same author

Understanding activity and physiology at scale: The Apple Heart & Movement Study.

NPJ digital medicine·2024

Same author

Artificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms.

Nature communications·2024

Same journal

Eugene Braunwald, MD, 1929-2026.

Circulation·2026

Same journal

AHA/ACC/ESC/WHF Expert Consensus Document: Second Universal Definition of Heart Failure (2026).

Circulation·2026

Same journal

Advancing Quality in the Evaluation, Surveillance, and Management of Aortic Stenosis: A Report From the AHA Target: AS Registry.

Circulation·2026

Same journal

Heart Failure Occurring in the Perinatal Period: A Scientific Statement From the American Heart Association.

Circulation·2026

Same journal

Correction to: 2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Dyslipidemia: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.

Circulation·2026

Same journal

Correction to: The Natural History of Massive Left Ventricular Hypertrophy in Pediatric Hypertrophic Cardiomyopathy: A Multiregistry Analysis.

Circulation·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 28, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Artificial Intelligence and Machine Learning in Cardiology

¹Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA. Harvard Medical School, Boston, MA.

|April 15, 2024

Summary

No abstract available in PubMed .

Keywords:

artificial intelligence cardiovascular diseases machine learning

More Related Videos

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

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

Related Experiment Videos

Last Updated: Jun 28, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

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