# An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-international-observational-study-suggests-that-artificial-intelligence-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | C. Barbieri,Manuel Molina,Pedro Ponce,Monika Tothová,Isabella Cattinelli,Jasmine Ion Titapiccolo,Flavio Mari,Claudia Amato,F. Leipold,Wolfgang Wehmeyer,Stefano Stuard,Andrea Stopper,Bernard Canaud |
| Citations | 144 |
| DOI | 10.1016/j.kint.2016.03.036 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2419121537 |
| PMID | 27262365 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Stefano Stuard](https://scholariq.org/researchers/stefano-stuard/)

## Paper journal

- [Kidney International](https://scholariq.org/journals/kidney-international/)

## Paper primary topic

- [Erythropoietin and Anemia Treatment](https://scholariq.org/topics/erythropoietin-and-anemia-treatment/)

## Paper topics

- [Erythropoietin and Anemia Treatment](https://scholariq.org/topics/erythropoietin-and-anemia-treatment/)
- [Dialysis and Renal Disease Management](https://scholariq.org/topics/dialysis-and-renal-disease-management/)
- [Iron Metabolism and Disorders](https://scholariq.org/topics/iron-metabolism-and-disorders/)

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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.