Abstract
There is considerable interest and excitement around the application of artificial intelligence (AI) in healthcare. Indeed, there have been a range of successful systems employing methods from AI such as artificial neural nets, machine learning, natural language processing and deep learning approaches to diagnosis and treatment. As the number of AI applications continues to grow, issues and challenges around how to integrate the technology into actual healthcare practice need to be considered. Many of these issues center around a range of human factors. There is the need to design more effective and reliable interactions between human and machine in the context of AI. In this chapter we identify and discuss a range of issues, many of which predate the current interest in AI in healthcare. Potential approaches to overcoming these challenges are also discussed in the context of designing more effective interactions with human end users.
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Kushniruk, A., Borycki, E. (2021). The Human Factors of AI in Healthcare: Recurrent Issues, Future Challenges and Ways Forward. In: Househ, M., Borycki, E., Kushniruk, A. (eds) Multiple Perspectives on Artificial Intelligence in Healthcare. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-67303-1_1
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DOI: https://doi.org/10.1007/978-3-030-67303-1_1
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