The Transformation of Healthcare Through AI-Driven Diagnostics

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Author(s): Muhammad Usman Tariq (Abu Dhabi University, Abu Dhabi, UAE & University of Glasgow, Glasgow, UK)
Copyright: 2024
Pages: 15
Source title: Enhancing Medical Imaging with Emerging Technologies
Source Author(s)/Editor(s): Avinash Kumar Sharma (Sharda University, India), Nitin Chanderwal (University of Cincinnati, USA), Shobhit Tyagi (Sharda University, India), Prashant Upadhyay (Sharda University, India)and Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)
DOI: 10.4018/979-8-3693-5261-8.ch015

Keywords: Knowledge Management and Library Science / Medical Imaging / Medical Information Science Reference / Medical Technologies

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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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