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Titlebook: Multimodal AI in Healthcare; A Paradigm Shift in Arash Shaban-Nejad,Martin Michalowski,Simone Bianc Book 2023 The Editor(s) (if applicable

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發(fā)表于 2025-3-21 16:22:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Multimodal AI in Healthcare
副標(biāo)題A Paradigm Shift in
編輯Arash Shaban-Nejad,Martin Michalowski,Simone Bianc
視頻videohttp://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(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Multimodal AI in Healthcare; A Paradigm Shift in  Arash Shaban-Nejad,Martin Michalowski,Simone Bianc Book 2023 The Editor(s) (if applicable
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
doihttps://doi.org/10.1007/978-3-031-14771-5
isbn_softcover978-3-031-14773-9
isbn_ebook978-3-031-14771-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-22 00:16:31 | 只看該作者
1860-949X clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.978-3-031-14773-9978-3-031-14771-5Series ISSN 1860-949X Series E-ISSN 1860-9503
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Studies in Computational Intelligencehttp://image.papertrans.cn/n/image/640716.jpg
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https://doi.org/10.1007/978-3-031-14771-5Health Intelligence; Precession Medicine; Precession Health; Digital Medicine; Big Data; Predictive Analy
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發(fā)表于 2025-3-22 19:18:47 | 只看該作者
Arash Shaban-Nejad,Martin Michalowski,Simone BiancHighlight2sthe 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
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1860-949X nted at the 2022 AAAI Workshop on Health Intelligence.IntercThis 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,
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發(fā)表于 2025-3-23 04:59:33 | 只看該作者
Book 2023AI 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
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發(fā)表于 2025-3-23 06:43:07 | 只看該作者
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