AI in Managing Chronic Diseases

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Authors: Priti Mangesh Bharambe, Santosh Jagtap
Cited by: 0
References: 12

Abstract

Chronic diseases, including diabetes, cardiovascular disorders, and cancer, are responsible for more than 70% of deaths worldwide, placing considerable pressure on healthcare systems. This chapter explores the revolutionary impact of artificial intelligence in the management of chronic illnesses. By utilizing machine learning, AI can predict disease progression and offer highly accurate personalized treatment options. It enhances diagnostic processes, supports remote patient monitoring through wearable technology, and allows for real-time management of treatments, thereby improving patient outcomes. Significant topics covered include AI applications for the early detection of diabetic retinopathy and cancer, customized treatment plans, and automated medication management. Additionally, AI improves telemedicine by facilitating at-home monitoring of chronic conditions through the collection of real-time data. The chapter also addresses challenges such as data privacy and biases in AI, highlighting the importance of ethical considerations.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Machine Learning in Healthcare

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
93–140
Publication date
9 January 2026
Document type
Book chapter