Produktbild: Multimodal AI in Healthcare

Multimodal AI in Healthcare

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A Paradigm Shift in Health Intelligence, Studies in Computational Intelligence 1060

ISBN: 3031147707
ISBN 13: 9783031147708
Herausgeber: Arash Shaban-Nejad/Martin Michalowski/Simone Bianco
Verlag: Springer Verlag GmbH
Umfang: xxii, 416 S., 10 s/w Illustr., 91 farbige Illustr., 416 p. 101 illus., 91 illus. in color.
Erscheinungsdatum: 29.11.2022
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 6289835 Kategorie:

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Springer Verlag GmbH
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69121 Heidelberg
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E-Mail: juergen.hartmann@springer.com

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