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PATHOLOGY

Artificial intelligence in nephropathology

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.

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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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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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