AIMC Topic: COVID-19
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Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis.
Scientific reports
Mar 26, 2025
COVID-19 is a disease in which early prognosis of severity is critical for desired patient outcomes and for the management of limited resources like intensive care unit beds and ventilation equipment. Many prognostic statistical tools have been devel...
The role of generative artificial intelligence in psychiatric education- a scoping review.
BMC medical education
Mar 25, 2025
BACKGROUND: The growing prevalence of mental health conditions, worsened by the COVID-19 pandemic, highlights the urgent need for enhanced psychiatric education. The distinctive nature of psychiatry- which is heavily centred on communication skills, ...
Leveraging artificial intelligence to assess the impact of COVID-19 on the teacher-student relationship in higher education.
PloS one
Mar 24, 2025
The teacher-student relationship has far-reaching implications for educational outcomes at the tertiary level. Teachers contribute to students' success in various ways, including academic support, career counseling, personal mentoring, etc., that hel...
Identifying opioid relapse during COVID-19 using natural language processing of nationwide Veterans Health Administration electronic medical record data.
Journal of psychopathology and clinical science
Mar 20, 2025
Novel and automated means of opioid use and relapse risk detection are needed. Unstructured electronic medical record data, including written progress notes, can be mined for clinically relevant information, including the presence of substance use an...
Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism.
Scientific reports
Mar 20, 2025
The outbreak of infectious diseases can have profound impacts on socio-economic balances globally. Accurate short-term forecasting of infectious diseases is crucial for policymakers and healthcare systems. This study proposes a novel deep learning ap...
Performance evaluation of reduced complexity deep neural networks.
PloS one
Mar 20, 2025
Deep Neural Networks (DNN) have achieved state-of-the-art performance in medical image classification and are increasingly being used for disease diagnosis. However, these models are quite complex and that necessitates the need to reduce the model co...
Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques.
Scientific reports
Mar 19, 2025
Predictive models for determining coronavirus disease 2019 (COVID-19) severity have been established; however, the complexity of the interactions among factors limits the use of conventional statistical methods. This study aimed to establish a simple...
Estimating the causal impact of non-pharmaceutical interventions on COVID-19 spread in seven EU countries via machine learning.
Scientific reports
Mar 17, 2025
During the COVID-19 pandemic, Non-Pharmaceutical Interventions (NPIs) were imposed all over Europe with the intent to reduce infection spread. However, reports on the effectiveness of those measures across different European countries are inconclusiv...
Subphenotyping prone position responders with machine learning.
Critical care (London, England)
Mar 14, 2025
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying response to prone positioning. We aimed to identify subphenotypes of ARDS patients undergoing prone positioning using machine learning and assess their a...
Transformative biomedical devices to overcome biomatrix effects.
Biosensors & bioelectronics
Mar 12, 2025
The emergence of high-performance biomedical devices and sensing technologies highlights the technological advancements in the field. Recently during COVID-19 pandemic, biosensors played an important role in medical diagnostics and disease monitoring...
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