Sustainable AI in medicine: navigating innovation, challenges, and environmental impact

The integration of AI in medicine must be accompanied by critical reflection on its environmental footprint. Through standardized monitoring, efficient design practices, and circular resource management, healthcare systems can harness the power of AI while minimizing ecological harm. Future research should explore the environmental trade-offs of AI-enabled clinical workflows, assess energy and material use, and promote Fair AI to ensure equity and global health inclusion. By aligning innovation, fairness, and environmental responsibility, AI can fulfill its promise of advancing medical science without compromising planetary health.