AIMC Topic: Pandemics

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Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development-a systematic review.

The Lancet. Digital health Nov 1, 2024
During the COVID-19 pandemic, artificial intelligence (AI) models were created to address health-care resource constraints. Previous research shows that health-care datasets often have limitations, leading to biased AI technologies. This systematic r...
Pandemics COVID-19 Datasets as Topic Humans Artificial Intelligence
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Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders.

Briefings in bioinformatics Sep 23, 2024
The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, and sublineages that outcompete earlier strains, largely due to factors like increased transmissibility and immune escape. We propose DeepAutoCoV, an un...
COVID-19 Forecasting SARS-CoV-2 Humans Pandemics Deep Learning Spike Glycoprotein, Coronavirus
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Antiviral Effectiveness, Clinical Outcomes, and Artificial Intelligence Imaging Analysis for Hospitalized COVID-19 Patients Receiving Antivirals.

Influenza and other respiratory viruses Sep 1, 2024
INTRODUCTION: There is still a lack of clinical evidence comprehensively evaluating the effectiveness of antiviral treatments for COVID-19 hospitalized patients.
Artificial Intelligence Pandemics COVID-19 Humans Ritonavir COVID-19 Drug Treatment Betacoronavirus Treatment Outcome Drug Combinations Coronavirus Infections Pneumonia, Viral Aged Adult Female Male Retrospective Studies SARS-CoV-2 Middle Aged Tomography, X-Ray Computed Hospitalization Lung Antiviral Agents
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Analyzing factors of daily travel distances in Japan during the COVID-19 pandemic.

Mathematical biosciences and engineering : MBE Aug 27, 2024
The global impact of the COVID-19 pandemic is widely recognized as a significant concern, with human flow playing a crucial role in its propagation. Consequently, recent research has focused on identifying and analyzing factors that can effectively r...
Humans Machine Learning Pandemics COVID-19 SARS-CoV-2 Vaccination Japan Travel
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Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data.

Studies in health technology and informatics Aug 22, 2024
Due to the importance of COVID-19 control, innovative methods for predicting cases using social network data are increasingly under attention. This study aims to predict confirmed COVID-19 cases using X (Twitter) social network data (tweets) and deep...
SARS-CoV-2 Natural Language Processing Pandemics Humans COVID-19 Deep Learning Forecasting Social Media
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Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships.

Studies in health technology and informatics Aug 22, 2024
Cruise ships are densely populated ecosystems where infectious diseases can spread rapidly. Hence, early detection of infected individuals and risk assessment (RA) of the disease transmissibility are critical. Recent studies have investigated the lon...
Risk Assessment Fuzzy Logic Ships COVID-19 SARS-CoV-2 Humans Pandemics
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Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques.

Studies in health technology and informatics Aug 22, 2024
The intersection of COVID-19 and pulmonary embolism (PE) has posed unprecedented challenges in medical diagnostics. The critical nature of PE and its increased incidence during the pandemic underline the need for improved detection methods. This stud...
Computed Tomography Angiography Humans Pandemics COVID-19 SARS-CoV-2 Deep Learning Pulmonary Embolism
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Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Blindness and other eye diseases are a global health concern, particularly in low- and middle-income countries like India. In this regard, during the COVID-19 pandemic, teleophthalmology became a lifeline, and the Grabi attachment for smartphone-base...
India Smartphone Pandemics Telemedicine Humans Ophthalmology COVID-19 Artificial Intelligence SARS-CoV-2 Remote Consultation Eye Diseases
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Time-varying compartmental models with neural networks for pandemic infection forecasting.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The emergence and spread of deadly pandemics has repeatedly occurred throughout history, causing widespread infections and life loss. Forecasting the progression of pandemics is crucial for decision-makers to achieve its mitigation. This predictive t...
Pandemics COVID-19 Forecasting Humans Neural Networks, Computer Machine Learning SARS-CoV-2 Time Factors
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Cough Classification of Unknown Emerging Respiratory Disease with Federated Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Artificial intelligence offers great potential to address the need for rapid diagnostic testing in pandemic scenarios. Concerns about security and privacy, however, complicate the collection of large representative medical data. Federated Learning (F...
SARS-CoV-2 Cough Federated Learning COVID-19 Algorithms Artificial Intelligence Machine Learning Pandemics Humans
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