The Role Of Artificial Intelligence In Precision Medicine: Enhancing Diagnosis And Treatment

Abstract

Artificial Intelligence (AI) is playing a transformative role in precision medicine by improving diagnostic accuracy, enabling personalized treatment options, and predicting patient outcomes with greater precision. AI technologies, particularly machine learning (ML) and deep learning (DL), have become essential tools in analyzing vast amounts of medical data, including genomic, clinical, and imaging data. These technologies help identify disease patterns, predict disease progression, and optimize individualized treatment plans. This article explores the applications of AI in precision medicine, focusing on its role in early diagnosis, treatment personalization, and improving patient outcomes. It also addresses the challenges associated with the integration of AI into clinical practice, including data privacy, interpretability of AI models, and regulatory concerns. Through case studies from the United States, Argentina, Pakistan, and South Africa, this article provides insights into the real-world applications and future directions for AI in precision medicine.