AI in Integrative Medicine: Advancing Chronic Disease Prediction and Personalized Prevention
Chronic diseases such as cardiovascular illness, diabetes, and cancer account for the majority of global deaths, yet a large proportion of these conditions are preventable with early detection and sustained lifestyle support. Integrative medicine, which combines conventional and complementary therapies, focuses on prevention, whole-person health, and patient empowerment.
Artificial intelligence (AI) is emerging as a valuable partner in this effort. Its ability to analyze complex data patterns, integrate diverse health inputs, and provide decision support makes it well-suited to advance prevention and personalized care. Rather than replacing clinicians, AI works best as an additional layer of intelligence that supports timely, evidence-informed decisions.
This article explores how AI can enhance chronic disease prediction and prevention in integrative medicine, with a focus on practical use cases, ethical considerations, and future directions.
