Artificial Intelligence in Healthcare: Predictive Models for Disease Diagnosis

Abstract

The integration of Artificial Intelligence (AI) in healthcare has revolutionized
disease diagnosis by providing accurate and timely predictions. Predictive models leveraging AI
techniques, such as machine learning and expert systems, have demonstrated substantial success
in detecting diseases like cancer, diabetes, and cardiovascular disorders. This paper explores the
development and application of AI-driven predictive models in healthcare before 2013. A review
of relevant literature highlights key methodologies, challenges, and results. The study also
compares AI-based systems with traditional diagnostic methods, emphasizing their ability to
handle complex datasets and improve diagnostic accuracy.

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