| 書目名稱 | Multimodal AI in Healthcare | | 副標(biāo)題 | A Paradigm Shift in | | 編輯 | Arash Shaban-Nejad,Martin Michalowski,Simone Bianc | | 視頻video | http://file.papertrans.cn/641/640716/640716.mp4 | | 概述 | Highlight2sthe latest achievements in the use of Multimodal AI in medicine and healthcare.Includes revised versions of selected papers presented at the 2022 AAAI Workshop on Health Intelligence.Interc | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine. | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | Health Intelligence; Precession Medicine; Precession Health; Digital Medicine; Big Data; Predictive Analy | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-14771-5 | | isbn_softcover | 978-3-031-14773-9 | | isbn_ebook | 978-3-031-14771-5Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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