journal article Jul 10, 2019

Artificial Intelligence and the Implementation Challenge

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References
65
[4]
HarwichELaycockKWilton Park2018LondonNational Health ServiceThinking On Its Own: AI in The NHS https://www.wiltonpark.org.uk/wp-content/uploads/Thinking-on-its-own-AI-in-the-NHS.pdf
[5]
Ajay, A The Economics of Artificial Intelligence: An Agenda (2019)
[7]
Making sense of implementation theories, models and frameworks

Per Nilsen

Implementation Science 10.1186/s13012-015-0242-0
[8]
[9]
Beyond “implementation”: digital health innovation and service design

JAMES SHAW, Payal Agarwal, Laura Desveaux et al.

npj Digital Medicine 10.1038/s41746-018-0059-8
[11]
Agrawal, A Prediction Machines: The Simple Economics of Artificial Intelligence (2018)
[15]
Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva, Brett Kuprel, Roberto A. Novoa et al.

Nature 10.1038/nature21056
[17]
RajpurkarPPolamreddiVBalakrishnanAResearchGate2017Cornell University LibraryMalaria likelihood prediction by effectively surveying households using deep reinforcement learning https://www.researchgate.net/publication/321324506_Malaria_Likelihood_Prediction_By_Effectively_Surveying_Households_Using_Deep_Reinforcement_Learning
[24]
CaseyDBeyanOMurphyKFelzmannHRobot-Assisted Care for Elderly With Dementia: Is There a Potential for Genuine End-User Empowerment?Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts2015HRI'15 Extended AbstractsMarch 2-5, 2015Portland, OR2478
[26]
Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

Laura J Damschroder, David C Aron, Rosalind E Keith et al.

Implementation Science 10.1186/1748-5908-4-50
[28]
Automation bias and verification complexity: a systematic review

David Lyell, Enrico Coiera

Journal of the American Medical Informatics Associ... 10.1093/jamia/ocw105
[29]
Health Care Robotics: Qualitative Exploration of Key Challenges and Future Directions

Kathrin Cresswell, Sarah Cunningham-Burley, Aziz Sheikh

Journal of Medical Internet Research 10.2196/10410
[32]
AgrawalAGansJGoldfarbAWSB Wiki2018TorontoUniversity of TorontoThe Labor Market Impact of Artificial Intelligence https://wiki.bus.wisc.edu/download/attachments/45908081/AGG_2018_10_15.pdf?version=1&modificationDate=1549310002037&api=v2
[37]
RossiRAAhmedNKThe Network Data Repository with Interactive Graph Analytics and VisualizationProceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence2015AAAI'15January 25-30, 2015Austin Texas42923
[38]
SamekWWiegandTMüllerKRarXiv2017Explainable artificial intelligence: understanding, visualizing and interpreting deep learning models https://arxiv.org/pdf/1708.08296.pdf
[46]
CulnaneCRubinsteinBTeagueVarXiv2017Health data in an open world https://arxiv.org/ftp/arxiv/papers/1712/1712.05627.pdf
[49]
HigginbottomKForbes2018The pros and cons of algorithms in recruitment https://www.forbes.com/sites/karenhigginbottom/2018/10/19/the-pros-and-cons-of-algorithms-in-recruitment/#79f3658b7340
[50]
TsymbalAResearchGate2004Computer Science Department, Trinity College DublinThe problem of concept drift: definitions and related work https://www.researchgate.net/publication/228723141_The_Problem_of_Concept_Drift_Definitions_and_Related_Work

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Published
Jul 10, 2019
Vol/Issue
21(7)
Pages
e13659
Cite This Article
JAMES SHAW, Frank Rudzicz, Trevor Jamieson, et al. (2019). Artificial Intelligence and the Implementation Challenge. Journal of Medical Internet Research, 21(7), e13659. https://doi.org/10.2196/13659