Multimodal AI in Healthcare - A Paradigm Shift in Health Intelligence (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 1060
Release date:	December 2022
First published:	2023
Editors:	Arash Shaban-Nejad • Martin Michalowski • Simone Bianco
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	416
Edition:	1st ed. 2023
ISBN-13:	978-3-03-114770-8
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-114770-7
Barcode:	9783031147708

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