# How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/how-medical-ai-devices-are-evaluated-limitations-and-recommendations-from-an/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Eric Q. Wu,Kevin Wu,Roxana Daneshjou,David Ouyang,Daniel E. Ho,James Zou |
| Citations | 476 |
| DOI | 10.1038/s41591-021-01312-x |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3143784018 |
| PMID | 33820998 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Eric Q. Wu](https://scholariq.org/researchers/eric-q-wu/)

## Paper journal

- [Nature Medicine](https://scholariq.org/journals/nature-medicine/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Ethics in Clinical Research](https://scholariq.org/topics/ethics-in-clinical-research/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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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.