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. 9.9% 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%
- 2.8k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +86% the tick is no change
- Largest producer
India
40% of the 10 largest, 2022-now
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