The transformation of healthcare through AI-driven diagnostics

dc.contributor.authorTariq, Muhammad Usman
dc.date.accessioned2024-09-06T15:44:16Z
dc.date.available2024-09-06T15:44:16Z
dc.date.issued2024-04-15
dc.description.abstractThis 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. Keywords Artificial intelligence, Health care, Medical diagnosis
dc.identifier.citationTariq, M. U. (2024). The Transformation of Healthcare Through AI-Driven Diagnostics. In Enhancing Medical Imaging with Emerging Technologies (pp. 250-264). IGI Global.
dc.identifier.doihttps://doi.org/10.4018/979-8-3693-5261-8.ch015
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/6375
dc.language.isoen_US
dc.publisherIGI Global
dc.titleThe transformation of healthcare through AI-driven diagnostics
dc.typeBook chapter

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