A Systematic Literature Review on the Application of Artificial Intelligence and Machine Learning in Personalized Medicine: Methodological Advances and Emerging Trends

Abstract

Leveraging cutting-edge technologies has been a key priority for life science and engineeringto promote superior patient care in response to an increasingly changing clinical domain.However, one of the most notable hands-down breakthroughs is artificial intelligence (AI)and Machine Learning (ML), celebrated as a driver of an improved approach to personalizedmedicine with designs of treatment specifically based on each unique patient case. Theliterature review study thoroughly studies research from 2017 to 2024 and gives a detailedanalysis of important academic works. Around them We scrutinize the specific studies, whichare selected to most closely resonate with our core theme and in doing so examine theirmethodological underpinnings as well as findings. The scientific community is making ahuge impact in the field of AI and ML for personalized medicine through each one. Thisstudy covers a wide range of goals, approaches, and findings, all focused on the influence ofAI and ML. This highlights the profound impact that AI can have on healthcare by providingvaluable information about groundbreaking methods that have the potential to completelyimprove patient diagnosis, treatment, and care. Furthermore, it recognizes the significantachievements of scholars and innovators who are committed to enhancing healthcare bycombining AI, ML, and engineering sciences.

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