# Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-real-time-prediction-of-acute-kidney-injury-outperforms/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nina Rank,Boris Pfahringer,Jörg Kempfert,Christof Stamm,Titus Kühne,Felix Schoenrath,Volkmar Falk,Carsten Eickhoff,Alexander Meyer |
| Citations | 167 |
| DOI | 10.1038/s41746-020-00346-8 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-020-00346-8.pdf |
| OpenAlex ID | https://openalex.org/W3097436443 |
| PMID | 33134556 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Jörg Kempfert](https://scholariq.org/researchers/jorg-kempfert/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## Paper primary topic

- [Acute Kidney Injury Research](https://scholariq.org/topics/acute-kidney-injury-research/)

## Paper topics

- [Acute Kidney Injury Research](https://scholariq.org/topics/acute-kidney-injury-research/)
- [Cardiac Arrest and Resuscitation](https://scholariq.org/topics/cardiac-arrest-and-resuscitation/)
- [Cardiac, Anesthesia and Surgical Outcomes](https://scholariq.org/topics/cardiac-anesthesia-and-surgical-outcomes/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.