# COVID-19 diagnosis using AI

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

## Facts

| Field | Value |
| --- | --- |
| 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 | t11775 |
| Works | 410 |

## Topic papers all

Showing 15 of 410.

- [Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning](https://scholariq.org/papers/identifying-medical-diagnoses-and-treatable-diseases-by-image-based-deep/)
- [Can AI Help in Screening Viral and COVID-19 Pneumonia?](https://scholariq.org/papers/can-ai-help-in-screening-viral-and-covid-19-pneumonia/)
- [The COVID-19 pandemic](https://scholariq.org/papers/the-covid-19-pandemic/)
- [Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network](https://scholariq.org/papers/lung-pattern-classification-for-interstitial-lung-diseases-using-a-deep/)
- [Deep learning-enabled medical computer vision](https://scholariq.org/papers/deep-learning-enabled-medical-computer-vision/)
- [Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images](https://scholariq.org/papers/exploring-the-effect-of-image-enhancement-techniques-on-covid-19-detection-using/)
- [An interpretable mortality prediction model for COVID-19 patients](https://scholariq.org/papers/an-interpretable-mortality-prediction-model-for-covid-19-patients/)
- [Asymptomatic carrier state, acute respiratory disease, and pneumonia due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): Facts and myths](https://scholariq.org/papers/asymptomatic-carrier-state-acute-respiratory-disease-and-pneumonia-due-to-severe/)
- [Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography](https://scholariq.org/papers/clinically-applicable-ai-system-for-accurate-diagnosis-quantitative-measurements/)
- [A foundation model for generalizable disease detection from retinal images](https://scholariq.org/papers/a-foundation-model-for-generalizable-disease-detection-from-retinal-images/)
- [Swarm Learning for decentralized and confidential clinical machine learning](https://scholariq.org/papers/swarm-learning-for-decentralized-and-confidential-clinical-machine-learning/)
- [Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study](https://scholariq.org/papers/real-time-automatic-detection-system-increases-colonoscopic-polyp-and-adenoma/)
- [Detection of Coronavirus Disease (COVID-19) Based on Deep Features](https://scholariq.org/papers/detection-of-coronavirus-disease-covid-19-based-on-deep-features/)
- [Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence](https://scholariq.org/papers/evaluation-and-accurate-diagnoses-of-pediatric-diseases-using-artificial/)
- [Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists](https://scholariq.org/papers/stand-alone-artificial-intelligence-for-breast-cancer-detection-in-mammography/)

## Topic primary papers

Showing 15 of 158.

- [Can AI Help in Screening Viral and COVID-19 Pneumonia?](https://scholariq.org/papers/can-ai-help-in-screening-viral-and-covid-19-pneumonia/)
- [Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network](https://scholariq.org/papers/lung-pattern-classification-for-interstitial-lung-diseases-using-a-deep/)
- [Deep learning-enabled medical computer vision](https://scholariq.org/papers/deep-learning-enabled-medical-computer-vision/)
- [Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images](https://scholariq.org/papers/exploring-the-effect-of-image-enhancement-techniques-on-covid-19-detection-using/)
- [Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography](https://scholariq.org/papers/clinically-applicable-ai-system-for-accurate-diagnosis-quantitative-measurements/)
- [Detection of Coronavirus Disease (COVID-19) Based on Deep Features](https://scholariq.org/papers/detection-of-coronavirus-disease-covid-19-based-on-deep-features/)
- [Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks](https://scholariq.org/papers/classification-of-covid-19-patients-from-chest-ct-images-using-multi-objective/)
- [Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization](https://scholariq.org/papers/reliable-tuberculosis-detection-using-chest-x-ray-with-deep-learning/)
- [Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray](https://scholariq.org/papers/transfer-learning-with-deep-convolutional-neural-network-cnn-for-pneumonia/)
- [Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning](https://scholariq.org/papers/classification-of-the-covid-19-infected-patients-using-densenet201-based-deep/)
- [Acute Pulmonary Embolism Associated with COVID-19 Pneumonia Detected with Pulmonary CT Angiography](https://scholariq.org/papers/acute-pulmonary-embolism-associated-with-covid-19-pneumonia-detected-with/)
- [A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis](https://scholariq.org/papers/a-fully-automatic-deep-learning-system-for-covid-19-diagnostic-and-prognostic/)
- [Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey](https://scholariq.org/papers/deep-learning-and-medical-image-processing-for-coronavirus-covid-19-pandemic-a/)
- [Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography](https://scholariq.org/papers/deep-learning-based-model-for-detecting-2019-novel-coronavirus-pneumonia-on-high/)
- [Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images](https://scholariq.org/papers/incremental-learning-based-cascaded-model-for-detection-and-localization-of/)

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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.