{"product_id":"artificial-intelligencemachine-learning-in-nuclear-medicine-and-hybrid-imaging-9783031001215","title":"Artificial Intelligence\/Machine Learning in Nuclear Medicine and Hybrid Imaging","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book provides detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in nuclear medicine and hybrid imaging, with a focus on clinical applications, ethical\/legal issues, economic realities, and the human factor. It is a valuable resource for physicians, radiologists, physicists, medical imaging administrators, and nuclear medicine technologists. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 210 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 23 June 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThis comprehensive book delves into the intricate details of the underlying technologies and concepts employed in Artificial Intelligence (AI) and Machine Learning (ML) within the realm of nuclear medicine and hybrid imaging. A diverse team of esteemed authors, comprising pioneers in the field and respected experts from renowned international institutions, come together to share their invaluable insights, perspectives, and forecasts on this captivating topic. The book explores a wide array of clinical applications, spanning from brain applications to body indications, as well as the potential applications of AI and ML in cardio-vascular conditions. To provide a well-rounded perspective, it also considers the ethical, legal, economic, and human factors associated with theranostics.\u003cbr\u003e\u003cbr\u003eTo strike a balance between the technology-focused and disease-specific applications, the book delves into ethical, legal, economic, and human considerations, specifically focusing on the role of physicians. While this discussion is not based on empirical research and outcomes, it offers insightful perspectives into the potential ramifications of AI and ML in transforming the practices of nuclear medicine and hybrid imaging. As the first work to highlight the specific role of these concepts in this field, rather than in medical imaging in general, this book serves as a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators, and Nuclear Medicine Technologists alike.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 433g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 254 x 178 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031001215\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44327454048506,"sku":"9783031001215","price":62.46,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1688743860794_book.jpg?v=1688887506","url":"https:\/\/shulphink.com\/products\/artificial-intelligencemachine-learning-in-nuclear-medicine-and-hybrid-imaging-9783031001215","provider":"Shulph Ink","version":"1.0","type":"link"}