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AI in Managing Chronic Diseases
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Author(s): Priti Mangesh Bharambe (MIT Arts, Commerce, and Science College, India)and Santosh Jagtap (MIT Arts, Commerce, and Science College, India)
Copyright: 2026
Pages: 48
Source title:
Revolutionizing Medicine With Autonomous Robotics
Source Author(s)/Editor(s): Dattatray Gopal Takale (Vishwakarma Institute of Information Technology, India), Parikshit N. Mahalle (Vishwakarma Institute of Information Technology, India), Bipin Sule (Vishwakarma Institute of Technology, India), Vivek S. Deshpande (Vishwakarma Institute of Information Technology, India)and Nilesh P. Sable (Vishwakarma Institute of Information Technology, India)
DOI: 10.4018/979-8-3373-0179-2.ch005
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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.
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