4.6 Editorial Material

Artificial intelligence in nephropathology

期刊

NATURE REVIEWS NEPHROLOGY
卷 16, 期 1, 页码 4-6

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41581-019-0220-x

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资金

  1. German Research Foundation (DFG) [SFB/TRR57, SFB/TRR219, BO3755/3-1, BO3755/6-1]
  2. German Ministry of Education and Research (BMBF) [STOP-FSGS-01GM1901A]
  3. German Ministry of Economic Affairs and Energy (BMWi
  4. EMPAIA project)

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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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