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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.
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.
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