AIMC Topic: COVID-19
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Protocol for the automatic extraction of epidemiological information via a pre-trained language model.
STAR protocols
Jul 1, 2023
The lack of systems to automatically extract epidemiological fields from open-access COVID-19 cases restricts the timeliness of formulating prevention measures. Here we present a protocol for using CCIE, a COVID-19 Cases Information Extraction system...
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.
Scientific reports
Jun 29, 2023
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomography (CT) imaging-based artificial intelligence models for COVID-19 research. However, contrast heterogeneity from real-world datasets may impair model...
COVID-19 Severity Prediction from Chest X-ray Images Using an Anatomy-Aware Deep Learning Model.
Journal of digital imaging
Jun 27, 2023
The COVID-19 pandemic has been adversely affecting the patient management systems in hospitals around the world. Radiological imaging, especially chest x-ray and lung Computed Tomography (CT) scans, plays a vital role in the severity analysis of hosp...
Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022.
Cyberpsychology, behavior and social networking
Jun 26, 2023
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of measles infections as a consequence. With the use of novel machine lea...
ConvCoroNet: a deep convolutional neural network optimized with iterative thresholding algorithm for Covid-19 detection using chest X-ray images.
Journal of biomolecular structure & dynamics
Jun 24, 2023
Covid-19 is a global pandemic. Early and accurate detection of positive cases prevent the further spread of this epidemic and help to treat rapidly the infected patients. During the peak of this epidemic, there was an insufficiency of Covid-19 test k...
Harnessing artificial intelligence in the post-COVID-19 era: A global health imperative.
Tropical doctor
Jun 20, 2023
Despite the World Health Organization's declaration that the COVID-19 global emergency has ended, the threat of future pandemics remains a significant concern. This paper highlights the potential role of Artificial Intelligence (AI) in strengthening ...
Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations.
Computers in biology and medicine
Jun 20, 2023
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19 detect...
Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs.
Scientific reports
Jun 20, 2023
Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most existing deterioration prediction models require a large number of clinical information, typically collected in hospital settings, such as medical images o...
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review.
Frontiers in public health
Jun 20, 2023
AIM: To perform a systematic review on the use of Artificial Intelligence (AI) techniques for predicting COVID-19 hospitalization and mortality using primary and secondary data sources.
The Rise of AI: How Artificial Intelligence is Revolutionizing Infectious Disease Control.
Annals of biomedical engineering
Jun 19, 2023
Artificial Intelligence (AI) has proven to be an effective tool in predicting, detecting, and mitigating the spread of infectious diseases, especially during the COVID-19 pandemic. The technology is increasingly playing a role in preventing future he...
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