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COVID-19 diagnosis using AI

TopicLeading institutions, researchers & key papers

COVID-19 diagnosis using AI is a topic indexed in PICO Portal from OpenAlex.

What is known about COVID-19 diagnosis using AI?

PICO Portalrecord summary

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.

How many works does COVID-19 diagnosis using AI have?

PICO Portalindexed works

COVID-19 diagnosis using AI has 54,817 works in the PICO Portal index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does COVID-19 diagnosis using AI have?

PICO Portalcitation count

COVID-19 diagnosis using AI has 608,516 citations in the OpenAlex counts PICO Portal stores.

What is the OpenAlex record for COVID-19 diagnosis using AI?

PICO Portalopenalex

The OpenAlex for COVID-19 diagnosis using AI is on the source record.

Who are the most-cited researchers behind COVID-19 diagnosis using AI?

PICO Portaltop researchers by citations
1
Geoffrey E. Hinton · Neural Networks and Applications
385 works451,920 citations
2
Walter C. Willett · Nutritional Studies and Diet
2,701 works408,557 citations
3
Peer Bork · Genomics and Phylogenetic Studies
950 works390,812 citations
4
Ross Girshick · Advanced Neural Network Applications
175 works355,032 citations
5
John P. A. Ioannidis · Meta-analysis and systematic reviews
1,851 works312,766 citations

Where is COVID-19 diagnosis using AI research published, and who funds it?

PICO Portalvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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