# Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnostic-accuracy-of-deep-learning-in-medical-imaging-a-systematic-review-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ravi Aggarwal,Viknesh Sounderajah,Guy Martin,Daniel Shu Wei Ting,Alan Karthikesalingam,Dominic King,Hutan Ashrafian,Ara Darzi |
| Citations | 908 |
| DOI | 10.1038/s41746-021-00438-z |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-021-00438-z.pdf |
| OpenAlex ID | https://openalex.org/W3150212014 |
| PMID | 33828217 |
| Type | review |
| Year | 2021 |

## Paper authors

- [Ara Darzi](https://scholariq.org/researchers/ara-darzi/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.