# COVID-19 diagnosis using AI

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/covid-19-diagnosis-using-ai-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 608,516 |
| Description | This cluster of papers focuses on the application of deep learning, particularly convolutional neural networks, in medical imaging for the detection and diagnosis of COVID-19, pneumonia, and other thoracic diseases using chest X-ray and CT scan images. The research explores the use of artificial intelligence, transfer learning, and image-based deep learning techniques to develop automated systems for accurate medical diagnoses. |
| Domain | Health Sciences |
| Field | Medicine |
| OpenAlex ID | https://openalex.org/T11775 |
| Works | 54,817 |

## Topic researchers

Showing 12 of 20.

- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Walter C. Willett](https://scholariq.org/researchers/walter-c-willett/)
- [Peer Bork](https://scholariq.org/researchers/peer-bork/)
- [Ross Girshick](https://scholariq.org/researchers/ross-girshick/)
- [John P. A. Ioannidis](https://scholariq.org/researchers/john-p-a-ioannidis/)
- [Róbert Langer](https://scholariq.org/researchers/robert-langer/)
- [Jian Sun](https://scholariq.org/researchers/jian-sun-2/)
- [Patrick M. Bossuyt](https://scholariq.org/researchers/patrick-m-bossuyt/)
- [Bach Xuan Tran](https://scholariq.org/researchers/bach-xuan-tran/)
- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Valentı́n Fuster](https://scholariq.org/researchers/valent-n-fuster/)
- [Jasvinder A. Singh](https://scholariq.org/researchers/jasvinder-a-singh/)

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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.