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In this keynote, Qiang Zhang, PhD FSCMR, Associate Professor at the University of Oxford, explores how artificial intelligence is reshaping cardiovascular medicine and clinical research. He introduces his team’s work at the University of Oxford, which combines big data, machine learning, and cardiac imaging to advance population studies. Starting with MRI imaging, Zhang demonstrated how AI-driven techniques, such as image segmentation, reconstruction, diagnosis, and quality control, are improving accuracy and efficiency in cardiovascular MRI. Looking ahead, Zhang outlines a roadmap for translating these innovations into clinical practice. He emphasizes the importance of interdisciplinary collaboration, industry partnerships, and regulatory frameworks to ensure safe and effective deployment. The session showcases cutting-edge techniques his team is developing to enhance cardiac imaging and highlights real-world applications already benefiting patients. Zhang also addresses critical challenges, including the environmental impact of AI systems, underscoring the need for sustainable solutions as healthcare embraces this transformative technology.