| 期刊全稱 | Artificial Intelligence in Cardiothoracic Imaging | | 影響因子2023 | Carlo N. De Cecco,Marly van Assen,Tim Leiner | | 視頻video | http://file.papertrans.cn/163/162405/162405.mp4 | | 發(fā)行地址 | Provides a thorough overview of the future potential and current applications of AI for cardiothoracic imaging.Includes contributions from radiologists and IT professionals, giving a multidisciplinary | | 學科分類 | Contemporary Medical Imaging | | 圖書封面 |  | | 影響因子 | This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients..This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that 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 | | Pindex | Book 2022 |
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