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Case Reports
. 2019 Jun;6(2):94-98.
doi: 10.7861/futurehosp.6-2-94.

The potential for artificial intelligence in healthcare

Thomas Davenport  1 , Ravi Kalakota  2
Affiliations
Case Reports

The potential for artificial intelligence in healthcare

Thomas Davenport et al. Future Healthc J. 2019 Jun.

Abstract

The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.

Keywords: Artificial intelligence; clinical decision support; electronic health record systems.

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References

    1. Deloitte Insights State of AI in the enterprise. Deloitte, 2018. www2.deloitte.com/content/dam/insights/us/articles/4780_State-of-AI-in-t....
    1. Lee SI, Celik S, Logsdon BA, et al. A machine learning approach to integrate big data for precision medicine in acute myeloid ­leukemia. Nat Commun 2018;9:42. - PMC - PubMed
    1. Sordo M. Introduction to neural networks in healthcare. OpenClinical, 2002. www.openclinical.org/docs/int/neuralnetworks011.pdf
    1. Fakoor R, Ladhak F, Nazi A, Huber M. Using deep learning to enhance cancer diagnosis and classification. A conference ­presentation The 30th International Conference on Machine Learning, 2013.
    1. Vial A, Stirling D, Field M, et al. The role of deep learning and ­radiomic feature extraction in cancer-specific predictive modelling: a review. Transl Cancer Res 2018;7:803–16.

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