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Multimodal AI in Healthcare: A Paradigm Shift in Health Intelligence (Studies in Computational Intelligence, nr. 1060)

Editat de Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
Notă GoodReads:
en Limba Engleză Hardback – 07 Jan 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.
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Specificații

ISBN-13: 9783031147708
ISBN-10: 3031147707
Ilustrații: XXII, 416 p. 101 illus., 91 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția: 1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării: Cham, Switzerland

Cuprins

Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge.- Customized Training of Pretrained Language Models to Detect Post Intents in Online Health Support Groups.- EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text.

Textul de pe ultima copertă

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.

Caracteristici

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
Interconnects three major fields: Artificial intelligence, Medicine and clinical and public health informatics