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Multimodal ai in healthcare = a para...

International Workshop on Health Intelligence ((2022))

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Multimodal ai in healthcare = a paradigm shift in health intelligence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multimodal ai in healthcare/ edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco.
其他題名:	a paradigm shift in health intelligence /
其他作者:	Shaban-Nejad, Arash.
團體作者:	International Workshop on Health Intelligence
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xxii, 416 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications -
電子資源:	https://doi.org/10.1007/978-3-031-14771-5
ISBN:	9783031147715

Multimodal ai in healthcare = a paradigm shift in health intelligence /
Multimodal ai in healthcarea paradigm shift in health intelligence /[electronic resource] :edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco. - Cham :Springer International Publishing :2023. - xxii, 416 p. :ill. (chiefly color), digital ;24 cm. - Studies in computational intelligence,v. 10601860-9503 ;. - Studies in computational intelligence ;v. 1060..

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.

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.

ISBN: 9783031147715

Standard No.: 10.1007/978-3-031-14771-5doiSubjects--Topical Terms:

660945
Artificial intelligence
--Medical applications

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.285

Multimodal ai in healthcare = a paradigm shift in health intelligence /
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