Multimodal Artificial Intelligence: Next Wave of Innovation in Healthcare and Medicine

Arash Shaban-Nejad, Martin Michalowski, Simone Bianco

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Multimodality refers to the utilization of different data types with different representational modes. Medical and health data are becoming more and more multimodal. Emerging multimodal technologies enable users to access, integrate and process multi-modal data and interact with a system in different modalities at the same time. Multimodal artificial intelligence (AI) particularly attempts to process, manage and understand these multimodal data through making multimodal inferences. In biology, medicine, and health, multimodal AI can assist in analyzing complex associations and relationships between various biological processes, health indicators, risk factors, and health outcomes, and developing exploratory and explanatory models. This chapter aims to introduce the concept of multimodal AI and discuss some of its applications in health and biomedicine.

Original languageEnglish (US)
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-9
Number of pages9
DOIs
StatePublished - 2023

Publication series

NameStudies in Computational Intelligence
Volume1060
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Digital health
  • Health intelligence
  • Multimodal artificial intelligence
  • Multimodality

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