AI and Chronic Diseases From Data Integration to Clinical Implementation

AI and Chronic Diseases From Data Integration to Clinical Implementation

Herat Joshi (Great River Health Systems, USA)
Copyright: © 2025 |Pages: 24
DOI: 10.4018/979-8-3693-6577-9.ch002
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Abstract

The integration of artificial intelligence (AI) into chronic disease management offers transformative potential for enhancing patient care, predictive analytics, and personalized treatment. As chronic illnesses like diabetes, cardiovascular diseases, and cancer rise globally, AI technologies—machine learning, deep learning, natural language processing—provide innovative solutions. This chapter explores AI's role in predicting health events, personalizing treatment, and optimizing outcomes through case studies and practical implementations. Ethical, privacy, and regulatory considerations are addressed to ensure AI complements human caregiving. The chapter also emphasizes global perspectives, promoting inclusive, culturally sensitive AI adoption to enhance healthcare equity and accessibility, envisioning a future where AI empowers healthcare professionals and patients.
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