TY - JOUR
T1 - AI-Enabled Islamic Philanthropy
T2 - A Novel Framework for Health Promotion and Preventive Care in Underserved Communities
AU - Elamin, Mustafa Osman I.
N1 - Publisher Copyright:
© 2025 by Author/s.
PY - 2025/11/25
Y1 - 2025/11/25
N2 - In an era where health disparities persist in underserved Muslim communities, integrating artificial intelligence (AI) with Islamic philanthropic mechanisms like Zakat and Waqf offers a transformative approach to health promotion. This study addresses the gap in applied health research by leveraging AI-driven technologies to enhance disease prevention, nutritional guidance, and mental health support, aligned with Islamic ethical principles of equity and compassion. Drawing from historical Islamic contributions to algorithms (e.g., al-Khwarizmi's legacy), it persuasively argues that AI can modernize charitable sectors to deliver personalized health interventions, fostering resilient communities and reducing chronic disease burdens. The primary aim is to develop and evaluate an AI framework for optimizing health resource allocation through Islamic philanthropy, with secondary objectives focusing on improving accessibility to preventive care and promoting lifestyle factors such as nutrition and physical activity. Employing a mixed-methods design, this research combines qualitative analysis of Islamic texts and case studies from global Waqf health initiatives with quantitative modeling using AI algorithms (e.g., machine learning for predictive analytics). Data from charitable organizations in Qatar and beyond will be analyzed via Python-based tools like scikit-learn, ensuring ethical compliance with bioethical standards. Anticipated outcomes include a 20– 30% increase in health intervention efficiency, demonstrated through simulated models showing reduced healthcare costs and enhanced community engagement. This framework will yield actionable insights for policymakers, proving AI's superiority in scaling health promotion. By bridging AI innovation with Islamic values, this work compellingly demonstrates unprecedented potential for sustainable health advancements, urging immediate adoption to achieve global well-being equity.
AB - In an era where health disparities persist in underserved Muslim communities, integrating artificial intelligence (AI) with Islamic philanthropic mechanisms like Zakat and Waqf offers a transformative approach to health promotion. This study addresses the gap in applied health research by leveraging AI-driven technologies to enhance disease prevention, nutritional guidance, and mental health support, aligned with Islamic ethical principles of equity and compassion. Drawing from historical Islamic contributions to algorithms (e.g., al-Khwarizmi's legacy), it persuasively argues that AI can modernize charitable sectors to deliver personalized health interventions, fostering resilient communities and reducing chronic disease burdens. The primary aim is to develop and evaluate an AI framework for optimizing health resource allocation through Islamic philanthropy, with secondary objectives focusing on improving accessibility to preventive care and promoting lifestyle factors such as nutrition and physical activity. Employing a mixed-methods design, this research combines qualitative analysis of Islamic texts and case studies from global Waqf health initiatives with quantitative modeling using AI algorithms (e.g., machine learning for predictive analytics). Data from charitable organizations in Qatar and beyond will be analyzed via Python-based tools like scikit-learn, ensuring ethical compliance with bioethical standards. Anticipated outcomes include a 20– 30% increase in health intervention efficiency, demonstrated through simulated models showing reduced healthcare costs and enhanced community engagement. This framework will yield actionable insights for policymakers, proving AI's superiority in scaling health promotion. By bridging AI innovation with Islamic values, this work compellingly demonstrates unprecedented potential for sustainable health advancements, urging immediate adoption to achieve global well-being equity.
KW - Artificial intelligence
KW - Health promotion
KW - Islamic philanthropy
KW - Preventive care
KW - Waqf
KW - Zakat
UR - https://www.scopus.com/pages/publications/105023860419
U2 - 10.64753/jcasc.v10i2.2354
DO - 10.64753/jcasc.v10i2.2354
M3 - Article
AN - SCOPUS:105023860419
SN - 2589-1316
VL - 10
SP - 4852
EP - 4865
JO - Journal of Cultural Analysis and Social Change
JF - Journal of Cultural Analysis and Social Change
IS - 2
ER -