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Multimodal AI in Healthcare : A Paradigm Shift in Health Intelligence / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco



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Titolo: Multimodal AI in Healthcare : A Paradigm Shift in Health Intelligence / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (417 pages) : illustrations
Disciplina: 610.285
Soggetto topico: Computational intelligence
Biomedical engineering
Engineering - Data processing
Artificial intelligence
Computational Intelligence
Biomedical Engineering and Bioengineering
Data Engineering
Artificial Intelligence
Persona (resp. second.): Shaban-NejadArash
MichalowskiMartin
BiancoSimone
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Multimodal AI in Healthcare  Visualizza cluster
ISBN: 3-031-14771-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910632485103321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Computational Intelligence, . 1860-9503 ; ; 1060