AIMC Topic: COVID-19

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Digital Health Experiences of Primary Care Nurses: A Qualitative Meta-synthesis.

International nursing review
AIM: To analyze primary care nurses' experiences of integrating and using digital health in their daily practice.

Bridging sustainable finance, AI, and clean technology amid economic shocks: How are they connected in median and extreme conditions?

Journal of environmental management
We investigate the intricate relationships between sustainable markets, artificial intelligence (AI), and clean technology, focusing on their contributions to investment and risk management. Employing the Quantile-on-Quantile (QQ) connectedness frame...

Content-based X-ray image retrieval using fusion of local neighboring patterns and deep features for lung disease detection.

Radiological physics and technology
This paper introduces a Content-Based Medical Image Retrieval (CBMIR) system for detecting and retrieving lung disease cases to assist doctors and radiologists in clinical decision-making. The system combines texture-based features using Local Binary...

Lyophilized nasal swabs for COVID-19 detection by ATR-FTIR spectroscopy: Machine learning-based approach.

Biophysical chemistry
The COVID-19 pandemic continues to pose challenges for global health. The disease burden and diagnostic pressure has forced scientists to explore alternate diagnostic tools beyond the standard PCR testing. One such promising tool is the use of spectr...

The Society of Thoracic Radiology Mentorship Program: A Paradigm for Professional Societies.

Journal of thoracic imaging
The Society of Thoracic Radiology (STR) membership enthusiastically embraced the launch of its mentorship program, with peaks in participation and engagement after annual meetings and during the COVID pandemic. The program provides a valuable resourc...

A Neural Embedding Approach to Mapping Health Concepts to Concept Unique Identifiers.

Studies in health technology and informatics
Understanding health concepts in free text is an important task in biomedical NLP. Being able to map the extracted concepts to unique concept identifiers can facilitate integration of and interoperability across biomedical informatics applications. A...

Analysis of disease severity and mortality prediction using machine learning during COVID-19.

Acta psychologica
This paper focuses on how machine learning (ML) algorithms and applications have been used to analyze disease severity and mortality prediction in COVID-19 research. In the past, simpler statistical and epidemiological methods were more commonly used...

A review: Lightweight architecture model in deep learning approach for lung disease identification.

Computers in biology and medicine
As one of the leading causes of death worldwide, early detection of lung disease is a very important step to improve the effectiveness of treatment. By using medical image data, such as X-ray or CT-scan, classification of lung disease can be done. De...

Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.

Computer methods and programs in biomedicine
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseling services, creating pressure on existing mental health professionals. Large language models (LLM), like ChatGPT, are considered a novel solution for...

SARS-CoV-2: lessons in virus mutation prediction and pandemic preparedness.

Current opinion in immunology
The COVID-19 pandemic has prompted an unprecedented global response. In particular, extraordinary efforts have been dedicated toward monitoring and predicting variant emergence due to its huge impact, particularly for vaccine escape. Broadly, we clas...