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PATHOLOGY

Artificial intelligence in nephropathology

Nature Reviews Nephrology volume 16, pages 4–6 (2020) Cite this article

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Once confined to the world of science fiction, advances in information technology, particularly in computational and storage resources, have enabled use of artificial intelligence in medicine to become a reality. Two new studies report the use of deep learning — currently the most promising algorithmic artificial intelligence approach — in kidney pathology.

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Fig. 1: Use of neural networks in digital nephropathology.
The alternative text for this image may have been generated using AI.

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Acknowledgements

The author’s work is supported by grants of the German Research Foundation (DFG; SFB/TRR57 and SFB/TRR219, BO3755/3-1 and BO3755/6-1), the German Ministry of Education and Research (BMBF; STOP-FSGS-01GM1901A) and the German Ministry of Economic Affairs and Energy (BMWi; EMPAIA project).

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  1. Institute of Pathology and Department of Nephrology, RWTH University of Aachen, Aachen, Germany

    Peter Boor

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  1. Peter Boor
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Correspondence to Peter Boor.

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Boor, P. Artificial intelligence in nephropathology. Nat Rev Nephrol 16, 4–6 (2020). https://doi.org/10.1038/s41581-019-0220-x

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