Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals

5Machine Learning–Enabled Digital Twins for Diagnostic and Therapeutic Purposes

Neel Shah^1*, Jayansh Nagar¹, Kesha Desai¹, Nirav Bhatt¹, Nikita Bhatt² and Hiren Mewada³

¹Department of Artificial Intelligence And Machine Learning, Chandubhai S. Patel Institute of Technology, Charotar University of Science and Technology, Changa, Gujarat, India

²Department of Computer Engineering, Chandubhai S. Patel Institute of Technology, Charotar University of Science and Technology, Changa, Gujarat, India

³Department of Electrical Engineering, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia

Abstract

Digital twins offer virtual representations of patients by integrating diverse data modalities to enable personalized diagnostics and treatments. This chapter explores augmenting patient digital twins with machine learning for enhanced clinical decision support. Beginning with the fundamental concepts around digital twin technology and machine learning techniques, the discussion ranges to the discussion of state-of-the-art digital twins and machine learning models used in the field of diagnostic and therapeutic. Fusing high-fidelity digital profiling with complex pattern recognition using machine neural networks establishes a powerful platform for data-driven precision medicine. This synergistic approach allows for gaining a comprehensive understanding of individual patients for granular risk assessment. Personalized digital twins equipped with machine learning additionally ...