AI in healthcare enhancing diagnostics, treatment, and patient care
Information Technology (PhD in IT), University of the Cumberlands, Austin, Texas.
Research Article
World Journal of Advanced Research and Reviews, 2022, 13(02), 574–583
Article DOI: 10.30574/wjarr.2022.13.2.0065
Publication history:
Received on 17 January 2022; revised on 23 February 2022; accepted on 27 February 2022
Abstract:
Machine learning and big data are now permeating nearly every sector of society, from the creative industries to the commercial world to the medical field. Just as Google knows people's health concerns, Netflix knows their viewing preferences, and Amazon knows when and where individuals want to make purchases, so does Amazon. Our abundant data sets enable us to conduct very specific personal profiles, which may be useful for predicting healthcare trends of the future and for comprehending and influencing people's actions. Everyone in the healthcare industry is hopeful that AI will revolutionize diagnoses and therapy. On the whole, people think that AI tools will make human jobs easier, rather than supplant them entirely. This includes doctors and other medical professionals. Artificial intelligence (AI) is ready to help healthcare workers with a broad variety of common and specialized tasks, such as administrative workflow, clinical documentation, patient outreach, image analysis, automation of medical devices, and patient monitoring. This chapter will discuss some of the most significant AI applications in healthcare, including those directly connected to healthcare as well as those that are healthcare-related to other functions, such as drug development and ambient assisted living. There is great potential for artificial intelligence to transform the healthcare business through its many uses, which extend across the whole value chain. These important advancements in healthcare that are driven by AI are tackled in this study.
Keywords:
Artificial Intelligence; Healthcare Applications; Machine Learning; Precision Medicine; Ambient Assisted Living; Natural Language Programming; Machine Vision.
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0