Shaban-Nejad Multimodal AI in Healthcare

Multimodal AI in Healthcare

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A Paradigm Shift in Health Intelligence

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Beschreibung

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.
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.
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

Autor*in

Arash Shaban-Nejad

Themen in »Multimodal AI in Healthcare«

Health Intelligence Precession Medicine Precession Health Digital Medicine Big Data Predictive Analytics Clinical Intelligence Public Health Surveillance Medical Informatics Health Informatics

Stimmen zu »Multimodal AI in Healthcare«

Details

ISBN: 9783031147739
Verlag: Springer International Publishing
Erscheinung: 29.11.2023

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