The transformation of healthcare through AI-driven diagnostics migrant health worker deaths during covid-19: a methodological exploration and initial estimates

Abstract

This chapter delves into the transformative effects of artificial intelligence (AI) on healthcare diagnostics, focusing on accuracy, efficiency, and predictability. The thorough analysis is organized around the main thematic parts. The chapter opens with an informative review of AI's role in healthcare diagnostics, laying the groundwork for understanding how AI technologies, such as machine learning and deep learning, transform medical diagnostic processes. The history of diagnostic procedures is explored, emphasizing the transition from old methods to the current era of AI-driven approaches. Finally, this chapter presents a thorough investigation into how AI-driven diagnostics impact healthcare's future. Covering present applications, problems, and future possibilities, it adds to the greater discussion of AI integration in healthcare. It emphasizes the importance of responsible and collaborative growth in this transformational subject.

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DOI

https://doi.org/10.4018/979-8-3693-5261-8.ch015

Repository URI

https://eprints.gla.ac.uk/325131/