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The integration of artificial intelligence into nuclear medicine is transforming the field by enhancing diagnostic accuracy, optimizing treatment plans, and expanding patient access to high-quality care. As AI-driven technologies continue to evolve, they offer new opportunities for improving efficiency, reducing human error, and personalizing medical interventions. However, these advancements also come with challenges, requiring careful oversight to ensure ethical implementation, patient safety, and adherence to professional standards. The active involvement of the medical community is essential in shaping the responsible use of AI to maximize its benefits while safeguarding both patients and society. AI Insights on Nuclear Medicine explores the transformative role of artificial intelligence in nuclear medicine, focusing on its applications in diagnostic imaging, treatment planning, and predictive analytics. By leveraging machine learning and automation, AI enhances accuracy, efficiency, and personalized care, ultimately improving patient outcomes and streamlining clinical workflows. Covering topics such as hybrid imaging, precision therapeutics, and decentralized infrastructure, this book is an excellent resource for physicists, computational imaging scientists, physicians, statisticians, industry and regulatory agency representatives, professionals, researchers, scholars, academicians, and more.
