Machine Learning for Smart Health Services in the Framework of Industry 5.0

Abstract

This chapter examines the transformative potential of machine learning in shaping smart health services within the framework of Industry 5.0. Through a comprehensive exploration of applications, methodologies, and real-world case studies, this chapter illustrates how machine learning algorithms are revolutionizing healthcare services. From real-time data analytics to personalized treatment pathways, the integration of machine learning empowers healthcare practitioners to make informed decisions that drive efficiency, accuracy, and patient-centred care. The chapter highlights the symbiotic relationship between machine learning and Industry 5.0, showcasing how data-driven insights and real-time collaboration are fostering the evolution of smart health services. As healthcare transitions from reactive to proactive, this chapter envisions a future where machine learning-driven smart health services not only optimize processes but also enhance patient well-being, marking a transformative step toward a patient-centric, technologically empowered future.