Titlebook: Artificial Intelligence in Cardiothoracic Imaging; Carlo N. De Cecco,Marly van Assen,Tim Leiner Book 2022 The Editor(s) (if applicable) an

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https://doi.org/10.1007/3-540-27668-8nefits in terms of radiation optimization are not limited to image reconstruction but are also exploitable in the clinical workflow optimization, through improvements in patient positioning and image acquisition. This chapter will discuss strengths and limitation of AI in CT radiation dose optimization.

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2626-6431 clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separat978-3-030-92089-0978-3-030-92087-6Series ISSN 2626-6431 Series E-ISSN 2626-6423

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Uwe Hellmann,Katharina Bansmann,Diana Stagesults such as the defeat of Garry Kasparov in a chess match and the ability to autonomously drive a car. AI is being implemented in multiple areas, including medicine and more importantly medical imaging. Throughout the years, software that can support physicians in making diagnosis, select optimal

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Wer zuerst kommt, mahlt zuerst,n supervised DL methods for the application, including image post-processing techniques, model-driven approaches and .-space-based methods. Current limitations, challenges and future opportunities of DL for cardiac image reconstruction are also discussed.

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Wer zuerst kommt, mahlt zuerst,r more comprehensive image. Here, we explore different applications of AI, DL, and NNs that address each of these two categories, various subcategories, and the specific approaches to solving their problem at hand.

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Book 2022at provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separat