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. 2019 Mar;28(3):231-237.
doi: 10.1136/bmjqs-2018-008370. Epub 2019 Jan 12.

Artificial intelligence, bias and clinical safety

Robert Challen  1   2 , Joshua Denny  3 , Martin Pitt  4 , Luke Gompels  2 , Tom Edwards  2 , Krasimira Tsaneva-Atanasova  5
Affiliations

Artificial intelligence, bias and clinical safety

Robert Challen et al. BMJ Qual Saf. 2019 Mar.
No abstract available

Keywords: artificial intelligence; clinical decision support systems; clinical safety; machine learning.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Expected trends in machine learning (ML) research: boxes show representative examples of decision support tasks that are currently offered by rule-based systems (grey), and hypothetical applications of ML systems in the future (yellow and orange), demonstrating increasing automation. The characteristics of the ML systems that support these tasks are anticipated to evolve, with systems becoming more proactive and reward driven, continuously learning to meet more complex applications, but potentially requiring more monitoring to ensure they are working as expected. AI, artificial intelligence; DSS, decision support systems.
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References

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