AI Frontiers in medicine: Engineering the future of patient care

Vaikunthan Rajaratnam, Norana Abdul Rahman

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

Integrating artificial intelligence (AI) into healthcare is a significant development in modern medicine. This chapter explores how AI is being used in healthcare. We focus on understanding how AI technologies, like machine learning and natural language processing, are applied in medical settings. These technologies are not just tools for automation; they enhance medical processes, aiding healthcare professionals and improving patient outcomes. The chapter will explore various ways AI is currently used in healthcare, such as diagnostics, treatment planning, and patient management. This includes examining how AI contributes to tailored medical treatments and individual patient care. Alongside the benefits, the chapter also discusses the challenges and ethical considerations associated with AI in healthcare. These include issues related to data privacy, potential biases in AI algorithms, and the need for appropriate regulations. Additionally, the chapter considers the global application of AI in healthcare. It looks at how AI is used in different parts of the world, both in well-resourced areas and places with fewer resources. This global view helps us understand how AI can help reduce healthcare quality and access gaps worldwide. The literature documents how this AI works in the healthcare sector in various ways. From enhancing drug development, clinical trials, and patient care to improving overall healthcare management through efficient data manipulation. AI’s current applications include diagnosis, treatment recommendations, patient engagement, and administrative tasks, often performing these tasks as effectively as humans [1]. AI is growing, particularly in early disease detection, diagnosis, treatment options, and predicting outcomes for significant diseases. It is constructive in the early detection of chronic diseases, which can reduce both the financial burden and severity of illnesses. AI-based services in healthcare show promise in improving patient outcomes, assisting caregivers, and cutting costs. Despite these advancements, ongoing discussions exist about how best to implement AI’s potential in practical healthcare settings [2]. In summary, this chapter is about the role of AI in enhancing healthcare. It presents a balanced view, recognising AI’s potential and challenges in the medical field. The aim is to show how AI, when used effectively, can be a valuable tool for healthcare professionals, leading to better healthcare outcomes. This exploration is not only about technology but also involves understanding AI’s ethical and practical implications in healthcare.

Original languageEnglish
Title of host publicationESG Innovation for Sustainable Manufacturing Technology
Subtitle of host publicationApplications, designs and standards
EditorsWai Yie Leong
PublisherInstitution of Engineering and Technology
Chapter10
Pages159-188
Number of pages30
ISBN (Electronic)9781837240128
ISBN (Print)9781837240111
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© The Institution of Engineering and Technology and its licensors 2024.

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