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The emergence of human-AI collaboration can be attributed to the advancements that have been made in artificial intelligence (AI). The shortage of skilled healthcare workers might be alleviated through such collaboration in the healthcare industry, which would also help medical professionals who are working too much and improve the overall quality of healthcare. Nevertheless, there are still many challenges that need to be addressed, including the examination of biases in clinical decision-making, the distrust of AI, and issues with adoption. Even while there is a growing body of research on the topic, it is coming from all over the place, and our understanding of it is limited. This study does a literature analysis in order to address this issue. The purpose of this review is to assess previous research, identify gaps in the research, and offer future research possibilities. Our review found that few studies have addressed topics such as the increasing and dynamic nature of healthcare industry collaboration, the ways in which humans and AI complement one another, public opinion and understanding of AI, and its potential effects on both individuals and healthcare organizations in the future. Additionally, there is a need for additional research that is driven by theory in order to reap the benefits of collaborative artificial intelligence for healthcare and to shape its design, implementation, and application.
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