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Personalized medicine provides advanced diagnostics, customized therapies, and proactive health management, taking into account the distinct genetic and socioeconomic profiles of each patient. The rapid development of contemporary technologies, such as the combination of biology and information technology, has laid a solid foundation for the development of artificial intelligence in the field of personalized medicine. This article primarily explores the application of artificial intelligence (AI) to personalized diagnosis and treatment. Firstly, AI can use big data analysis, machine learning, and especially deep learning to quickly detect early disease indicators from massive medical data to provide patients with more accurate diagnosis and prediction. Secondly, AI can help develop a more personalized treatment plans by analyzing relevant data such as patients' genetic information, lifestyle, and social environment. This article focuses on the technical advantages and current applications of AI in personalized medicine to better understand the known challenges and future potential of the field.
Xinyi Yang (Tue,) studied this question.