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Background: Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus is a significant global challenge. Many individuals who become infected have pre-existing conditions that may…

Physicians taking care of patients with coronavirus disease (COVID-19) have described different changes in routine blood parameters. However, these changes, hinder them from performing COVID-19 diagnosis. We constructed a machine learning…

Purpose: Artificial intelligence (AI) techniques have been extensively utilized for diagnosing and prognosis of several diseases in recent years. This study identifies, appraises and synthesizes published studies on the use of AI for the…

Because of the rapid spread of COVID-19 to almost every part of the globe, huge volumes of data and case studies have been made available, providing researchers with a unique opportunity to find trends and make discoveries like never…

Machine Learning · Computer Science 2021-10-20 Sarwan Ali , Yijing Zhou , Murray Patterson

Background: The COVID-19 pandemic has overwhelmed healthcare systems, emphasizing the need for AI-driven tools to assist in rapid and accurate patient prognosis. Chest X-ray imaging is a widely available diagnostic tool, but existing…

Image and Video Processing · Electrical Eng. & Systems 2025-03-18 Alfred Simbun , Suresh Kumar

Determinants of COVID-19 clinical severity are commonly assessed by transverse or longitudinal studies of the fatality counts. However, the fatality counts depend both on disease clinical severity and transmissibility, as more infected also…

Populations and Evolution · Quantitative Biology 2021-09-02 Sofija Markovic , Andjela Rodic , Igor Salom , Ognjen Milicevic , Magdalena Djordjevic , Marko Djordjevic

Background and Objective: During pandemics, the use of artificial intelligence (AI) approaches combined with biomedical science play a significant role in reducing the burden on the healthcare systems and physicians. The rapid increment in…

Image and Video Processing · Electrical Eng. & Systems 2022-05-30 Mansi Gupta , Aman Swaraj , Karan Verma

AI and Machine Learning can offer powerful tools to help in the fight against Covid-19. In this paper we present a study and a concrete tool based on machine learning to predict the prognosis of hospitalised patients with Covid-19. In…

Machine Learning · Computer Science 2020-10-12 Alfonso Emilio Gerevini , Roberto Maroldi , Matteo Olivato , Luca Putelli , Ivan Serina

COVID-19 patient triaging with predictive outcome of the patients upon first present to emergency department (ED) is crucial for improving patient prognosis, as well as better hospital resources management and cross-infection control. We…

The COVID-19 pandemic has created an urgent need for robust, scalable monitoring tools supporting stratification of high-risk patients. This research aims to develop and validate prediction models, using the UK Biobank, to estimate COVID-19…

The unprecedented global crisis brought about by the COVID-19 pandemic has sparked numerous efforts to create predictive models for the detection and prognostication of SARS-CoV-2 infections with the goal of helping health systems allocate…

Purpose: The need to streamline patient management for COVID-19 has become more pressing than ever. Chest X-rays provide a non-invasive (potentially bedside) tool to monitor the progression of the disease. In this study, we present a…

Image and Video Processing · Electrical Eng. & Systems 2020-07-01 Joseph Paul Cohen , Lan Dao , Paul Morrison , Karsten Roth , Yoshua Bengio , Beiyi Shen , Almas Abbasi , Mahsa Hoshmand-Kochi , Marzyeh Ghassemi , Haifang Li , Tim Q Duong

In a worldwide health crisis as exigent as COVID-19, there has become a pressing need for rapid, reliable diagnostics. Currently, popular testing methods such as reverse transcription polymerase chain reaction (RT-PCR) can have high false…

Image and Video Processing · Electrical Eng. & Systems 2022-07-15 Justin Liu

The COVID-19 pandemic has had a considerable impact on day-to-day life. Tackling the disease by providing the necessary resources to the affected is of paramount importance. However, estimation of the required resources is not a trivial…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Sai Vidyaranya Nuthalapati , Marcela Vizcaychipi , Pallav Shah , Piotr Chudzik , Chee Hau Leow , Paria Yousefi , Ahmed Selim , Keiran Tait , Ben Irving

A prompt severity assessment model of patients confirmed for having infectious diseases could enable efficient diagnosis while alleviating burden on the medical system. This study aims to develop a SARS-CoV-2 severity assessment model and…

Machine Learning · Computer Science 2022-02-18 Min Sue Park , Hyeontae Jo , Haeun Lee , Se Young Jung , Hyung Ju Hwang

Despite the widespread testing protocols for COVID-19, there are still significant challenges in early detection of the disease, which is crucial for preventing its spread and optimizing patient outcomes. Owing to the limited testing…

Machine Learning · Computer Science 2023-12-13 Moyosolu Akinloye

Most children infected with COVID-19 have no or mild symptoms and can recover automatically by themselves, but some pediatric COVID-19 patients need to be hospitalized or even to receive intensive medical care (e.g., invasive mechanical…

Machine Learning · Computer Science 2022-06-08 Sajid Mahmud , Elham Soltanikazemi , Frimpong Boadu , Ashwin Dhakal , Jianlin Cheng

Based on recent studies, some COVID-19 symptoms can persist for months after infection, leading to what is termed long COVID. Factors such as vaccination timing, patient characteristics, and symptoms during the acute phase of infection may…

Machine Learning · Computer Science 2025-04-30 Milad Leyli-abadi , Jean-Patrick Brunet , Axel Tahmasebimoradi

COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce mortality. In order…

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be recovered or not depends, to a large extent, on how early they will be treated appropriately before irreversible consequences are caused to the patients by…

Applications · Statistics 2020-07-01 Feng Zhou , Tao Chen , Baiying Lei
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