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An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research

Joe Zhang, Stephen Whebell, Jack Gallifant and 9 more

The Lancet: Digital Health · 2022

doi:10.1016/s2589-7500(22)00032-2 (opens in a new tab)

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References24

4.
Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study · 2019
5.
The “inconvenient truth” about AI in healthcare · 2019
8.
Artificial Intelligence in Health Care: Bibliometric Analysis · 2020
10.
Time to reality check the promises of machine learning-powered precision medicine · 2020
14.
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis · 2021
21.
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review · 2021

18 more references, whose wording the paper’s licence keeps private.

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