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相关论文: Cognizance of Post-COVID-19 Multi-Organ Dysfunctio…

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Existing prognostic tools mainly focus on predicting the risk of mortality among patients with coronavirus disease 2019. However, clinical evidence suggests that COVID-19 can result in non-mortal complications that affect patient prognosis.…

The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide. Even with the worldwide distribution of vaccines, there is an apparent need for affordable,…

Long COVID "brain fog" is a common and debilitating subjective syndrome often associated with persistent cognitive impairment after COVID-19 infection. Here we identify a specific regional brain dysfunction that mediates this cognitive…

The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and causing significant social and economic disruptions. In order to optimize decision-making and allocate limited resources, it is essential to identify…

机器学习 · 计算机科学 2023-09-06 Mohammad Dehghani , Zahra Yazdanparast

The aim of the work is to use deep neural network models for solving the problem of image recognition. These days, every human being is threatened by a harmful coronavirus disease, also called COVID-19 disease. The spread of coronavirus…

机器学习 · 计算机科学 2020-10-12 Samir S. Yadav , Jasminder Kaur Sandhu , Mininath R. Bendre , Pratap S. Vikhe , Amandeep Kaur

As the COVID-19 pandemic continues to devastate globally, one promising field of research is machine learning-driven computer vision to streamline various parts of the COVID-19 clinical workflow. These machine learning methods are typically…

图像与视频处理 · 电气工程与系统科学 2021-09-15 Audrey G. Chung , Maya Pavlova , Hayden Gunraj , Naomi Terhljan , Alexander MacLean , Hossein Aboutalebi , Siddharth Surana , Andy Zhao , Saad Abbasi , Alexander Wong

Since 2019, the global dissemination of the Coronavirus and its novel strains has resulted in a surge of new infections. The use of X-ray and computed tomography (CT) imaging techniques is critical in diagnosing and managing COVID-19.…

图像与视频处理 · 电气工程与系统科学 2024-01-17 Sayed Amir Mousavi Mobarakeh , Kamran Kazemi , Ardalan Aarabi , Habibollah Danyal

The current COVID-19 pandemic overloads healthcare systems, including radiology departments. Though several deep learning approaches were developed to assist in CT analysis, nobody considered study triage directly as a computer science…

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…

机器学习 · 计算机科学 2022-02-18 Min Sue Park , Hyeontae Jo , Haeun Lee , Se Young Jung , Hyung Ju Hwang

COVID-19 has adversely affected humans and societies in different aspects. Numerous people have perished due to inaccurate COVID-19 identification and, consequently, a lack of appropriate medical treatment. Numerous solutions based on…

图像与视频处理 · 电气工程与系统科学 2023-09-06 AmirReza BabaAhmadi , Sahar Khalafi , Masoud ShariatPanahi , Moosa Ayati

Due to the limited availability and high cost of the reverse transcription-polymerase chain reaction (RT-PCR) test, many studies have proposed machine learning techniques for detecting COVID-19 from medical imaging. The purpose of this…

计算机视觉与模式识别 · 计算机科学 2021-08-11 Aishwarza Panday , Muhammad Ashad Kabir , Nihad Karim Chowdhury

COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regions of the lungs leading to a build-up of fluid and breathing difficulties. Thus, the…

图像与视频处理 · 电气工程与系统科学 2025-07-08 Yinuo Wang , Juhyun Bae , Ka Ho Chow , Shenyang Chen , Shreyash Gupta

COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reverse-Transcription Polymerase Chain Reaction (RT-PCR), has a…

COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak, impacting financial markets and healthcare systems globally. Countries all around the world have adopted a number of extraordinary steps to restrict the…

图像与视频处理 · 电气工程与系统科学 2023-02-16 Song Wu , Yazhou Ren , Aodi Yang , Xinyue Chen , Xiaorong Pu , Jing He , Liqiang Nie , Philip S. Yu

The coronavirus disease 2019 (COVID-19) has led to a global pandemic of significant severity. In addition to its high level of contagiousness, COVID-19 can have a heterogeneous clinical course, ranging from asymptomatic carriers to severe…

机器学习 · 计算机科学 2023-07-03 Yuelyu Ji , Yuhe Gao , Runxue Bao , Qi Li , Disheng Liu , Yiming Sun , Ye Ye

Since early in the coronavirus disease 2019 (COVID-19) pandemic, there has been interest in using artificial intelligence methods to predict COVID-19 infection status based on vocal audio signals, for example cough recordings. However,…

Background: This paper provides a systematic review of the application of Artificial Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in fighting against the effects of novel coronavirus disease…

图像与视频处理 · 电气工程与系统科学 2021-10-29 M. Rubaiyat Hossain Mondal , Subrato Bharati , Prajoy Podder

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…

机器学习 · 计算机科学 2022-06-08 Sajid Mahmud , Elham Soltanikazemi , Frimpong Boadu , Ashwin Dhakal , Jianlin Cheng

Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world and has become one of the most acute and severe ailments in the past hundred years. The prevalence rate of COVID-19 is rapidly rising every day…

图像与视频处理 · 电气工程与系统科学 2022-09-09 Md. Milon Islam , Fakhri Karray , Reda Alhajj , Jia Zeng

As the COVID-19 pandemic continues to put a significant burden on healthcare systems worldwide, there has been growing interest in finding inexpensive symptom pre-screening and recommendation methods to assist in efficiently using available…

机器学习 · 计算机科学 2022-11-23 Pengyuan Shi , Yuetong Wang , Saad Abbasi , Alexander Wong