Organisation Name
YALH NSAFRO
Industry
Health services
Organisation Website
https://www.facebook.com/Mustaphaelbaroudi00
Country
Morocco
Sustainable Development Goals (SDGs)
SDG 1: No Poverty
SDG 2: Zero Hunger
SDG 3: Good Health and Well-being
SDG 4: Quality Education
SDG 5: Gender Equality
SDG 6: Clean Water and Sanitation
SDG 7: Affordable and Clean Energy
SDG 8: Decent Work and Economic Growth
SDG 9: Industry, Innovation and Infrastructure
SDG 10: Reduced Inequality
SDG 11: Sustainable Cities and Communities
SDG 12: Responsible Consumption and Production
SDG 13: Climate Action
SDG 14: Life Below Water
SDG 15: Life on Land
SDG 16: Peace and Justice Strong Institutions
SDG 17: Partnerships to achieve the Goal
General Description of the AI tool
General Description of the AI Tool
The AI-Driven Rural Health Access System is an intelligent digital platform designed to bridge the healthcare access gap in underserved and remote communities. Leveraging artificial intelligence, the system identifies medical needs, predicts health risks, and connects patients in rural areas with appropriate healthcare resources in real time.
At its core, the tool uses machine learning algorithms to analyze a range of data inputs—including geographic, demographic, and health behavior data—to:
Prioritize outreach to high-risk populations
Relevant Research and Publications
Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Explores AI’s potential to transform healthcare delivery, especially in underserved areas.
Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine Learning in Medicine. The New England Journal of Medicine, 380(14), 1347-1358.
Discusses AI model development and ethical considerations in medical contexts.
WHO (2020). Global Strategy on Digital Health 2020–2025.
Provides guidance on digital health adoption to strengthen health systems globally.
Chauhan, S., & Paul, R. (2021). AI for Rural Healthcare: Challenges and Opportunities. Journal of Healthcare Informatics Research, 5(2), 151-170.
Focuses on AI applications tailored to rural healthcare challenges.
O’Neill, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown.
Highlights the importance of addressing bias and ethics in AI systems.
Needs
Funding
Personnel
Customers
Public Exposure
Mentorship Program
HPC resources and/or Cloud Computing Services