Clinical applications of machine learning algorithms: beyond the black box

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British Medical Journal 364:I886 (2019)
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Abstract

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

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Author Profiles

Luciano Floridi
Yale University
David Watson
University College London
Jenny Krutzinna
University of Bergen

Citations of this work

What the near future of artificial intelligence could be.Luciano Floridi - 2019 - Philosophy and Technology 32 (1):1-15.
What is Interpretability?Adrian Erasmus, Tyler D. P. Brunet & Eyal Fisher - 2021 - Philosophy and Technology 34:833–862.

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