AI-DRIVEN PERSONALISED TREATMENT PLANS: THE FUTURE OF PRECISION MEDICINE

Abstract

This comprehensive article explores the intersection of AI and healthcare, specifically focusing on the transformative potential of AI-driven personalised treatment plans within the realm of precision medicine. Tracing the evolution of AI from its early days to its current applications in various sectors, the article underscores its profound impact on healthcare, emphasising responsible development for universal benefit. The research method involves a thorough examination of AI in healthcare through indexed databases, ensuring a comprehensive analysis of the topic. The narrative delves into the role of AI in revolutionising patient care, diagnostics, and treatment planning, particularly in areas such as radiotherapy. Current machine learning techniques and AI algorithms, including Boltzmann Machines, K Nearest Neighbour, Recurrent Neural Networks, Support Vector Machines, Convolutional Neural Networks, Long Short-Term Memory, and Generative Adversarial Networks, are elucidated for their applications in medical contexts. The article emphasises the features and applications of AI in precision medicine. The narrative acknowledges the potential of AI to revolutionise healthcare, providing personalised treatment plans, improved diagnostic accuracy, and effective disease management. Furthermore, the article discusses the shift from generalised to personalised medicine and the role of AI in assisting clinical decisions. It addresses data protection and privacy concerns, highlighting the importance of legislation and ethical considerations in AI implementation. The conclusion reflects on the burden of chronic diseases globally and the role of precision medicine, AI, and public health approaches in reshaping healthcare paradigms. Overall, this article offers a thorough exploration of AI in healthcare, underscoring its potential for personalised medicine and the imperative need for ethical and regulatory frameworks.