Integrated multimodal artificial intelligence framework for healthcare applications

 

Satyasai Raghava Krishna Akkapeddi *

Hult International Business School, Zimbabwean.
 
Review
World Journal of Advanced Engineering Technology and Sciences, 2023, 09(01), 465-475.
Article DOI: 10.30574/wjaets.2023.9.1.0111
Publication history: 
Received on 25 February 2023; revised on 15 April 2023; accepted on 17 April 2023
 
Abstract: 
The integration of multimodal artificial intelligence in healthcare has opened up a new era in diagnostic accuracy, personalized treatment, and efficient clinical workflows. Using myriad data types such as imaging, clinical notes, genomic data, or signals from sensors, such multimodal AI systems create a holistic and context-aware picture of patient health. This paper reviews recent advancements of multimodal AI applications in diagnostics, therapeutics, and patient monitoring, focusing on the synergy between modalities such as vision and language and structured data. It also addresses the technical challenges such as data harmonization, interpretability, and ethics, while providing solutions in building more robust models and better integrating AI into clinical practice. Finally, it discusses prospective research directions and policy guidelines required for globally conscious, responsible adoption of multimodal AI in healthcare.
 
Keywords: 
Multimodal Artificial Intelligence; Healthcare Innovation; Medical Imaging; Natural Language Processing; Clinical Decision Support
 
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Copyright information: 
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0