AIMC Topic: COVID-19
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Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights.
International journal of medical informatics
Jul 11, 2024
OBJECTIVE: To determine the incidence of patients presenting in pain to a large Australian inner-city emergency department (ED) using a clinical text deep learning algorithm.
Prediction of COVID-19 patients' participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches.
BMC health services research
Jul 10, 2024
BACKGROUND: Informal care plays an essential role in managing the COVID-19 pandemic. Expanding health insurance packages that reimburse caregivers' services through cost-sharing policies could increase financial resources. Predicting payers' willingn...
Optimization of vision transformer-based detection of lung diseases from chest X-ray images.
BMC medical informatics and decision making
Jul 8, 2024
BACKGROUND: Recent advances in Vision Transformer (ViT)-based deep learning have significantly improved the accuracy of lung disease prediction from chest X-ray images. However, limited research exists on comparing the effectiveness of different opti...
COVID-19 and Pneumonia detection and web deployment from CT scan and X-ray images using deep learning.
PloS one
Jul 8, 2024
During the COVID-19 pandemic, pneumonia was the leading cause of respiratory failure and death. In addition to SARS-COV-2, it can be caused by several other bacterial and viral agents. Even today, variants of SARS-COV-2 are endemic and COVID-19 cases...
Prospective Randomized Study on the Use of Robot-Assisted Postoperative Visits.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Jul 5, 2024
Robot-assisted visits, as part of telemedicine, can offer doctors the opportunity to take care of patients. Due to the COVID-19 pandemic, there has been an increase in telemedicine. The use of teleconsultations, for example, has found its way into t...
Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae family.
BMC bioinformatics
Jul 5, 2024
PURPOSE: In this study, we present DeepVirusClassifier, a tool capable of accurately classifying Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) viral sequences among other subtypes of the coronaviridae family. This classification is ach...
Uncovering hidden and complex relations of pandemic dynamics using an AI driven system.
Scientific reports
Jul 4, 2024
The COVID-19 pandemic continues to challenge healthcare systems globally, necessitating advanced tools for clinical decision support. Amidst the complexity of COVID-19 symptomatology and disease severity prediction, there is a critical need for robus...
A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability.
Accident; analysis and prevention
Jul 3, 2024
One of the main objectives in improving the quality of life for individuals with disabilities, especially those experiencing mobility issues such as the elderly, is to enhance their day-to-day mobility. Enabling easy mobility contributes to their ind...
Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time.
IEEE journal of biomedical and health informatics
Jul 2, 2024
OBJECTIVE: The clinical course of COVID-19, as well as the immunological reaction, is notable for its extreme variability. Identifying the main associated factors might help understand the disease progression and physiological status of COVID-19 pati...
Virtual resonance: analyzing IPA usage intensity under COVID-19's isolating canopy.
Scientific reports
Jul 1, 2024
The widespread adoption of smartphones coupled with advancements in artificial intelligence has significantly propelled the use of intelligent personal assistants (IPAs). These digital assistants have become indispensable for many users, particularly...
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