# Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/clinical-artificial-intelligence-quality-improvement-towards-continual/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jean Feng,Rachael V. Phillips,Ivana Malenica,Andrew Bishara,Alan Hubbard,Leo Anthony Celi,Romain Pirracchio |
| Citations | 380 |
| DOI | 10.1038/s41746-022-00611-y |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-022-00611-y.pdf |
| OpenAlex ID | https://openalex.org/W4281681378 |
| PMID | 35641814 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Romain Pirracchio](https://scholariq.org/researchers/romain-pirracchio/)

## Paper journal

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

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

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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.