COVID-19 diagnosis using AI
COVID-19 diagnosis using AI is a research topic within Radiology, Nuclear Medicine and Imaging. Science Explorer counts 28k research works in it since 1955. 21.1% of them reached the world's top 10% most cited for their field and year.
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.
- Deep Learning
- Medical Imaging
- COVID-19
- Convolutional Neural Networks
- Chest X-Ray
- Pneumonia Detection
- Artificial Intelligence
- Image-Based Diagnosis
- Transfer Learning
- CT Scan
- Research works
- 28k fractional, since 1955
- In the world top 10%
- 5.9k per year above
- Top-10% rate
- 21.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +2185% the tick is no change
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead COVID-19 diagnosis using AI research?
By volume, India and China publish the most (4.2k and 2.1k works in 2022–2025).
By volume, 2022–2025
- 1 India 4.2k works
- 2 China 2.1k works
- 3 United States 1.5k works
- 4 Indonesia 549 works
- 5 Türkiye 483 works
- 6 United Kingdom 416 works
- 7 Saudi Arabia 347 works
- 8 Pakistan 296 works
- 9 Bangladesh 288 works
- 10 Iran 267 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead COVID-19 diagnosis using AI research?
By volume in 2022–2025, Saveetha University publishes the most COVID-19 diagnosis using AI research, followed by Vellore Institute of Technology University and SRM Institute of Science and Technology.
By volume, 2022–2025
- 1 Saveetha University India 168 works
- 2 Vellore Institute of Technology University India 132 works
- 3 SRM Institute of Science and Technology India 131 works
- 4 Chitkara University India 95 works
- 5 Amrita Vishwa Vidyapeetham India 71 works
- 6 Chandigarh University India 69 works
- 7 Graphic Era University India 55 works
- 8 Koneru Lakshmaiah Education Foundation India 54 works
- 9 Galgotias University India 45 works
- 10 Lovely Professional University India 42 works
Who are the leading researchers in COVID-19 diagnosis using AI?
The most-cited researchers publishing on COVID-19 diagnosis using AI include Yoshua Bengio, Luc Van Gool and Alan Yuille.
- 1 Yoshua Bengio 17k citations
- 2 Luc Van Gool 8.5k citations
- 3 Alan Yuille 8.4k citations
- 4 Chen Change Loy 7.7k citations
- 5 Ming–Hsuan Yang 7.4k citations
- 6 Thomas S. Huang 7.4k citations
- 7 Bernt Schiele 6.9k citations
- 8 Trevor Darrell 6.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is COVID-19 diagnosis using AI research done?
The largest centres of COVID-19 diagnosis using AI research in 2022–2025 are Chennai (India), Beijing (China), Bengaluru (India) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada, Srivilliputhur and Greater Noida.
Largest cities, 2022–2025
Where it is the local speciality
- VijayawadaIN · 90.6 works13×
- SrivilliputhurIN · 29.9 works13×
- Greater NoidaIN · 102.1 works11×
- PulchowkNP · 27.9 works9.5×
Location quotient: how much more of its research is in COVID-19 diagnosis using AI than the world average.
Where is the best place to study COVID-19 diagnosis using AI?
Among universities, judged by research, Mohamed bin Zayed University of Artificial Intelligence, Saveetha University and Vellore Institute of Technology University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates | 71.0 | 56.9% | 14.4× | 9 | — |
| 2 | Saveetha University India | 61.5 | 14.6% | 11.6× | 168 | — |
| 3 | Vellore Institute of Technology University India | 58.9 | 21.6% | 8.8× | 132 | — |
| 4 | Chitkara University India | 58.9 | 18.2% | 16.1× | 95 | — |
| 5 | Princess Nourah bint Abdulrahman University Saudi Arabia | 58.3 | 46.0% | 5.2× | 20 | — |
| 6 | Prince Sultan University Saudi Arabia | 57.7 | 51.7% | 6.0× | 10 | — |
| 7 | SRM Institute of Science and Technology India | 57.4 | 12.5% | 10.2× | 130 | — |
| 8 | Graphic Era University India | 56.4 | 19.7% | 10.5× | 55 | — |
| 9 | Koneru Lakshmaiah Education Foundation India | 55.9 | 19.6% | 12.6× | 54 | — |
| 10 | Daffodil International University Bangladesh | 53.8 | 19.8% | 15.7× | 22 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is COVID-19 diagnosis using AI research growing?
Output in 2018–2022 was 2185% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are COVID-19 diagnosis using AI.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.