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...

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

Integrated Healthcare System

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

You might also read

Related Articles

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

Sort by

Same author

Enhancing Homeopathic Prescribing for Chronic Cough by Classifying the Reliability of Polar Symptoms.

Homeopathy : the journal of the Faculty of Homeopathy·2025

Same author

How to Assess Variation in Homeopathic Prognostic Factor Research?

Homeopathy : the journal of the Faculty of Homeopathy·2025

Same author

A Novel Hybrid Machine Learning-Based System Using Deep Learning Techniques and Meta-Heuristic Algorithms for Various Medical Datatypes Classification.

Diagnostics (Basel, Switzerland)·2024

Same author

Comparative metabolomics of MCF-7 and MCF-7/TAMR identifies potential metabolic pathways in tamoxifen resistant breast cancer cells.

American journal of translational research·2024

Same author

Induction of double-strand breaks with the non-steroidal androgen receptor ligand flutamide in patients on androgen suppression: a study protocol for a randomized, double-blind prospective trial.

Trials·2023

Same author

Plasma Levels of Organochlorine Pesticides and Tumor Necrosis Factor-Alpha: A Potential Risk Factor for Developing Acquired Aplastic Anemia in the North Indian Population.

Cureus·2023

Search research articles

Related Experiment Video

Updated: May 5, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Green artificial intelligence in health applications.

Yehia Ibrahim Alzoubi¹, Alok Mishra²

¹College of Business Administration, American University of the Middle East, Egaila, 54200, Kuwait.

Artificial Intelligence in Medicine

|May 3, 2026

Summary

Green Artificial Intelligence (AI) in healthcare balances technological progress with environmental responsibility. This approach addresses energy consumption and waste, promoting sustainable AI adoption in medical practices.

Keywords:

Energy-efficient AI Environmental impact Green AI Healthcare applications Sustainable healthcare

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Related Experiment Videos

Last Updated: May 5, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Area of Science:

Environmental Science
Computer Science
Healthcare Technology

Background:

Healthcare's increasing reliance on Artificial Intelligence (AI) raises environmental concerns regarding energy consumption, e-waste, and carbon emissions.
The integration of AI in healthcare necessitates a sustainable approach to mitigate its ecological impact.

Purpose of the Study:

To investigate the concept and application of Green AI within the healthcare sector.
To explore strategies for balancing AI advancement with environmental sustainability in healthcare.

Main Methods:

Systematic review of literature on Green AI in healthcare.
Analysis of green computing practices, energy-efficient AI models, and renewable energy adoption.
Examination of healthcare applications, trends, tools, barriers, and policy frameworks.

Main Results:

Green AI offers solutions for reducing resource waste and promoting eco-friendly medical procedures like telemedicine.
Identified key themes include green computing, energy-efficient models, and renewable energy sources.
Barriers to adoption and enabling tools/techniques were outlined, alongside policy implications.

Conclusions:

Green AI is crucial for sustainable AI evolution in healthcare, requiring policy frameworks and cross-sector collaboration.
Emphasizes the growing importance of environmental awareness in AI development and deployment.
Highlights practical implications and future research directions for environmentally responsible AI in medicine.