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Cover: 9783031147708 | Multimodal AI in Healthcare | A Paradigm Shift in Health Intelligence
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Multimodal AI in Healthcare
A Paradigm Shift in Health Intelligence
Buch von Arash Shaban-Nejad (u. a.)
Sprache: Englisch

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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.
Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Fachbereich: Technik allgemein
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Studies in Computational Intelligence
Inhalt: xxii
416 S.
10 s/w Illustr.
91 farbige Illustr.
416 p. 101 illus.
91 illus. in color.
ISBN-13: 9783031147708
ISBN-10: 3031147707
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Shaban-Nejad, Arash
Bianco, Simone
Michalowski, Martin
Herausgeber: Arash Shaban-Nejad/Martin Michalowski/Simone Bianco
Auflage: 1st ed. 2023
Hersteller: Springer International Publishing
Springer International Publishing AG
Studies in Computational Intelligence
Maße: 241 x 160 x 30 mm
Von/Mit: Arash Shaban-Nejad (u. a.)
Erscheinungsdatum: 29.11.2022
Gewicht: 0,822 kg
Artikel-ID: 122103888
Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Fachbereich: Technik allgemein
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Studies in Computational Intelligence
Inhalt: xxii
416 S.
10 s/w Illustr.
91 farbige Illustr.
416 p. 101 illus.
91 illus. in color.
ISBN-13: 9783031147708
ISBN-10: 3031147707
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Shaban-Nejad, Arash
Bianco, Simone
Michalowski, Martin
Herausgeber: Arash Shaban-Nejad/Martin Michalowski/Simone Bianco
Auflage: 1st ed. 2023
Hersteller: Springer International Publishing
Springer International Publishing AG
Studies in Computational Intelligence
Maße: 241 x 160 x 30 mm
Von/Mit: Arash Shaban-Nejad (u. a.)
Erscheinungsdatum: 29.11.2022
Gewicht: 0,822 kg
Artikel-ID: 122103888
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