A comprehensive review of AI applications in personalized medicine

Abstract

Personalized medicine, propelled by advances in genomic and molecular understanding, is undergoing a transformative paradigm shift, and artificial intelligence (AI) is emerging as a pivotal catalyst in this evolution. This comprehensive review explores the intersection of AI and personalized medicine, aiming to provide a holistic overview of the current landscape, challenges, and future directions. The review delves into AI applications across key domains, including genomic medicine, disease diagnosis, risk prediction, patient stratification, and clinical trials. Special attention is given to the ethical considerations inherent in AI-powered personalized medicine, addressing issues of privacy, informed consent, transparency, and fairness. The narrative concludes by highlighting persistent challenges, anticipating future innovations, and advocating for collaborative endeavors to ensure the ethical implementation of AI in personalized medicine. This nuanced analysis serves as a valuable reference for researchers, healthcare professionals, policymakers, and stakeholders engaged in navigating the intricate interplay of AI and personalized healthcare.