
Advancing healthcare through multimodal data fusion: a …
With the increasing availability of diverse healthcare data sources, such as medical images and electronic health records, there is a growing need to effectively integrate and fuse this …
Review of multimodal machine learning approaches in healthcare
Feb 1, 2025 · Recent advances in machine learning have facilitated the more efficient incorporation of multimodal data, resulting in applications that better represent the clinician’s …
An overview of methods and techniques in multimodal data …
Jan 10, 2025 · In the context of healthcare platforms, this paper discusses data collection, preprocessing, and fusion challenges arising from a diverse data landscape. The use of big …
Advancing Clinical Practice: The Potential of Multimodal …
Multimodal AI applications in clinical practice integrate diverse data sources such as medical images, electronic health records (EHRs), sound recordings, and genomic data to enhance …
Multimodal missing data in healthcare: A comprehensive review …
May 1, 2025 · The rapid advancement in healthcare data collection technologies and the importance of using multimodal data for accurate diagnosis leads to a surge in multimodal …
Advancing healthcare through multimodal data fusion: a …
May 7, 2024 · This research synthesizes existing information to facilitate progress in using multimodal data for improved medical diagnosis and treatment planning.
Multimodal Integration in Health Care: Development With …
This viewpoint presents an overview of the current state of multimodal integration in health care, spanning clinical applications, current challenges, and future directions. We focus primarily on …
A survey of multimodal information fusion for smart healthcare: …
Feb 1, 2024 · In this paper, a journey from data to information to knowledge to wisdom (DIKW) is explored through multimodal fusion for smart healthcare. We present a comprehensive review …
How Multimodal AI Is Impacting Healthcare - Forbes
Apr 29, 2025 · Integrating these different types of data is essential for improving the accuracy of disease diagnosis and treatment. Having built multimodal AI at Microsoft and later founded …
Use of Multi-Modal Data and Machine Learning to Improve
Apr 27, 2022 · In this paper, we review the state-of-the-art research that focuses on how the latest techniques in data fusion are providing scientific and clinical insights specific to the field of …