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 language||English (US)|
|Title of host publication||Studies in Computational Intelligence|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||9|
|State||Published - 2023|
|Name||Studies in Computational Intelligence|
Bibliographical notePublisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Digital health
- Health intelligence
- Multimodal artificial intelligence