Multimodal AI in Healthcare

A Paradigm Shift in Health Intelligence

Arash Shaban-Nejad, Martin Michalowski, Simone Bianco (Herausgeber)

Buch | Softcover

XXII, 416 Seiten

2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-14773-9 (ISBN)

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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.

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.

Erscheinungsdatum	29.11.2023
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XXII, 416 p. 101 illus., 91 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	670 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik
Schlagworte	Big Data • Clinical Intelligence • Digital Medicine • Health Informatics • Health Intelligence • Medical Informatics • Precession Health • Precession Medicine • predictive analytics • Public Health Surveillance
ISBN-10	3-031-14773-1 / 3031147731
ISBN-13	978-3-031-14773-9 / 9783031147739
Zustand	Neuware