Exploring the Intersection of AI, Healthcare, and Environmental Sustainability: Future Trends and Challenges

This study explores the synergies between these fields, highlighting current trends and future opportunities. AI is revolutionizing healthcare through enhanced diagnosticsAI diagnostics, personalized treatment, and efficient resource management while contributing to environmental sustainabilityEnvironmental sustainability by optimizing energy use, reducing waste, and monitoring ecological health. The convergence of AI with healthcare and sustainabilitySustainability is particularly crucial given the intertwined nature of health and environmental factors, where pollution and climateClimate-smart facilities change directly impact public health. However, integrating AI into these domains also presents significant ethical, social, and policy challenges, including concerns about data privacy, algorithmic bias, and regulatory complexities. This study examines these challenges and provides recommendations for fostering innovation, ensuring ethical AI deployment, and promoting cross-sector collaboration. The findings underscore the need for ongoing research and development to fully realize the potential of AI in creating sustainable and health-promoting solutions while also addressing the risks associated with its widespread adoption.