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Overview of Artificial Intelligence in Medicine

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Artificial Intelligence in Medicine

Abstract

Computational intelligence or machine intelligence is generally described as the notion of automated and intelligent machines supporting or replacing human labour. AI has attracted growing research interest and has become increasingly adopted in modelling and solving real-world problems. AI in medicine has attracted increasing attention with significant potential for its adoption, particularly as the gap between increasing expectations of high-quality healthcare, and natural limitations of human physicians in mastering increasingly complex domain knowledge grows. With the assistance of AI, the organisation, retrieval and utilisation of appropriate medical knowledge needed by the practitioner in dealing with complex cases may become much easier. AI may provide appropriate diagnostic, prognostic and therapeutic decisions, and meet requirements for the emerging 4P principles of medicine: predictive, preventive, personalised, and participatory.

AI is likely to improve physician efficiency or accuracy, and clinicians will be essential to provide AI with the expert domain knowledge and data necessary for AI training. Further development and deployment of these technologies should also consider acceptance and satisfaction of patients.

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Correspondence to Mingguang He .

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Liu, C., Tan, Z., He, M. (2022). Overview of Artificial Intelligence in Medicine. In: Raz, M., Nguyen, T.C., Loh, E. (eds) Artificial Intelligence in Medicine. Springer, Singapore. https://doi.org/10.1007/978-981-19-1223-8_2

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  • DOI: https://doi.org/10.1007/978-981-19-1223-8_2

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  • Online ISBN: 978-981-19-1223-8

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