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Deep learning detects impending organ injury in the clinic

Organ damage is often detected late, when treatment options are limited. The use of artificial intelligence to continuously monitor a patient’s medical data can identify people at risk of imminent kidney injury.
  1. Eric J. Topol

    1. Eric J. Topol is in the Department of Molecular Medicine, Scripps Research Translational Institute, La Jolla, California 92037, USA.

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Acute injury to the kidneys occurs in one in five patients in US hospitals1. It is a common condition in hospital patients because it can be caused by a number of factors, including abnormal blood pressure or blood volume. But the ability to predict whether or when acute kidney injury will happen is limited. For people who are at high risk of developing this condition, the standard clinical approach is daily assessment of their laboratory test results, including the concentration of creatinine in their blood, because high levels of this molecule are a hallmark of kidney problems.

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Nature 572, 36-37 (2019)

doi: https://doi.org/10.1038/d41586-019-02308-x

References

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  3. Mohamadlou, H. et al. Can. J. Kidney Health 5, https://doi.org/10.1177/2054358118776326 (2018).

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Competing Interests

E.J.T. is a member of the Verily Advisory Board.

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