June 2026
Intermediate
400 pages
10h 11m
English
book
Composite Artificial Intelligence
by T. S. Arun Samuel, L. Jerart Julus, P. Kanimozhi, T. Ananth Kumar, S. Balamurugan
Content preview from Composite Artificial Intelligence
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15Applications for Composite AI in Healthcare
R.Vijayarajeswari1*, David Samuel Azariya S.1, Anto Lourdu Xavier Raj Arockia Selvarathinam2, Priyabrata Thatoi3, Abhinaya Saravanan4 and Nisha Soms5
1Department of Information Technology, Sona College of Technology, Salem, Tamil Nadu, India
2Department of Data Science and Analytics, Grand Valley State University, Michigan, USA
3Amazon, Chicago, Illinois, USA
4Computer Science Department, Institute of Applied Technology, Abu Dhabi, UAE
5Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
Abstract
Integrating multiple AI techniques, composite AI revolutionizes healthcare by enhancing diagnosis, treatment, and decision-making. This chapter explores the synergistic potential of machine learning, deep learning, expert systems, and knowledge graphs in healthcare applications. It highlights how composite AI addresses complex medical challenges, such as personalized treatment planning, predictive analytics for disease progression, and real-time patient monitoring. This approach improves accuracy, interpretability, and adaptability in medical decision-making by leveraging diverse AI methodologies. Additionally, the chapter discusses real-world case studies, demonstrating how composite AI optimizes resource utilization and enhances clinical workflows. Despite its transformative potential, challenges such as data privacy, interoperability, and ethical considerations remain ...
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