AIMC Topic: COVID-19

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Exploring the Development of Chinese Digital Resources under Lightweight Deep Learning.

Computational intelligence and neuroscience Jun 29, 2022
From 2019, countries worldwide have been negatively affected by the corona virus disease 2019 (COVID-19) in all aspects of social life. The high-tech digital industry represented by emerging digital technologies is still vigorous, and correspondingly...
Big Data Deep Learning Industry Humans China COVID-19
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Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features.

Nursing open Jun 27, 2022
AIM: Due to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characte...
Robotics COVID-19 Cross-Sectional Studies Nurses Clinical Competence Humans
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A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.

Frontiers in public health Jun 23, 2022
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and dea...
Pandemics COVID-19 Support Vector Machine Artificial Intelligence Humans Machine Learning Internet of Things Neural Networks, Computer
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Automated Screening of COVID-19-Based Tongue Image on Chinese Medicine.

BioMed research international Jun 23, 2022
OBJECTIVE: Artificial intelligence-powered screening systems of coronavirus disease 2019 (COVID-19) are urgently demanding since the ongoing outbreak of SARS-CoV-2 worldwide. Chest CT or X-ray is not sufficient to support the large-scale screening of...
Artificial Intelligence COVID-19 Tongue SARS-CoV-2 Humans Medicine, Chinese Traditional
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Explainable deep learning algorithm for distinguishing incomplete Kawasaki disease by coronary artery lesions on echocardiographic imaging.

Computer methods and programs in biomedicine Jun 21, 2022
BACKGROUND AND OBJECTIVE: Incomplete Kawasaki disease (KD) has often been misdiagnosed due to a lack of the clinical manifestations of classic KD. However, it is associated with a markedly higher prevalence of coronary artery lesions. Identifying cor...
Coronary Vessels Coronary Artery Disease Fever Echocardiography COVID-19 Child Infant Algorithms Humans Deep Learning Mucocutaneous Lymph Node Syndrome
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Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation.

Journal of medical Internet research Jun 21, 2022
BACKGROUND: Recent work has shown the potential of using audio data (eg, cough, breathing, and voice) in the screening for COVID-19. However, these approaches only focus on one-off detection and detect the infection, given the current audio sample, b...
Humans Deep Learning COVID-19 Disease Progression Cough Voice
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Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.

Tomography (Ann Arbor, Mich.) Jun 20, 2022
This app project was aimed to remotely deliver diagnoses and disease-progression information to COVID-19 patients to help minimize risk during this and future pandemics. Data collected from chest computed tomography (CT) scans of COVID-19-infected pa...
COVID-19 Tomography, X-Ray Computed Humans Deep Learning Mobile Applications COVID-19 Testing SARS-CoV-2 Lung
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SeqScreen: accurate and sensitive functional screening of pathogenic sequences via ensemble learning.

Genome biology Jun 20, 2022
The COVID-19 pandemic has emphasized the importance of accurate detection of known and emerging pathogens. However, robust characterization of pathogenic sequences remains an open challenge. To address this need we developed SeqScreen, which accurate...
Bacteria Humans COVID-19 Open Reading Frames Leukocytes, Mononuclear Machine Learning
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The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society.

Healthcare management forum Jun 17, 2022
The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a number of potential applications for Socially Assistive Robots (SARs). Our entire healthcare system has been under unprecedented strain, and going forward...
Long-Term Care Robotics Social Interaction Pandemics COVID-19 Humans
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FLED-Block: Federated Learning Ensembled Deep Learning Blockchain Model for COVID-19 Prediction.

Frontiers in public health Jun 17, 2022
With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required to diagnose the COVID-19. The rapid spread of the virus and the shortage of reliable testing models are considered major issues in detecting COVID-19. This pr...
Blockchain SARS-CoV-2 Deep Learning Humans Artificial Intelligence COVID-19
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