AI in Diagnostics and Treatment Planning

Abstract

Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy and optimising treatment planning. This chapter explores the pivotal role of AI technologies in revolutionising healthcare delivery, with a focus on diagnostics and treatment planning. AI, encompassing Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning (DL), is utilised to analyse vast amounts of medical data, enabling early detection of diseases such as cancer and neurological disorders, and improving predictive analytics for disease progression. In diagnostics, AI facilitates the identification of patterns and biomarkers, empowering precision medicine and genomic profiling. During treatment planning, AI-powered Decision Support Tools give personalised recommendations while tailored medicine adapts therapies based on genetics and patient profiles. AIassisted planning for surgery and medication optimisation further boosts the effects of interventions. Integrating AI brings numerous benefits, including higher diagnostic precision, lower healthcare costs, faster timelines for intervention, and improved outcomes for patients. This chapter ends by discussing future directions for AI in healthcare, such as incorporating wearable tech, real-time decision systems, and AIdriven global access to care. This chapter emphasises AI's transformative potential in making healthcare more efficient, accessible, and personalised.

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