AI in Precision Medicine: A Systematic Review of Machine Learning Applications in Healthcare

Abstract

The integration of artificial intelligence in precision medicine has enabled personalized treatment strategies based on patient data. This paper reviews the latest advancements in AI-driven diagnostic tools, predictive modeling, and treatment optimization. We analyze machine learning algorithms applied to genomics, medical imaging, and drug discovery. Ethical and regulatory challenges, including data privacy and bias, are also discussed. Future directions highlight the need for explainability and integration with clinical workflows.