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The Impact and Implication of Artificial Intelligence on Thematic Healthcare and Quality of Life
Abstract
Artificial intelligence (AI) in healthcare is utilized to define the application of machine learning (ML) technologies or algorithms to replicate human cognitive abilities regarding the understanding, presentation, and analysis of sophisticated medical procedures and healthcare information. This article discusses the impacts and implications of AI on QoL and healthcare. The thirty-two articles included in the dataset for this study were algorithmically retrieved through a systematic search on four multidisciplinary databases, including PubMed, JSTOR, ScienceDirect, and Medline. This thematic analysis identified and discussed the following themes: AI and sustainability; the potential risk of automation bias; healthcare ethics; AI and quality of life regarding security and safety; and bias in artificial intelligence technologies. Impact-related graphs of the different AI systems and healthcare dynamics are also included in the narrative. Population safety, security, racial bias, and proactive systems are identified as potential and perpetual challenges.
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