AIMC Topic: COVID-19

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General Characteristics and Design Taxonomy of Chatbots for COVID-19: Systematic Review.

Journal of medical Internet research
BACKGROUND: A conversational agent powered by artificial intelligence, commonly known as a chatbot, is one of the most recent innovations used to provide information and services during the COVID-19 pandemic. However, the multitude of conversational ...

DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning.

Computers in biology and medicine
It is wise to investigate past and present epidemics in the hopes of profiting from them and being better prepared for future ones. COVID-19 is one of the most recent and well-known pandemics; its effects are still felt today. Most or nearly all gove...

Potential diagnostic application of a novel deep learning- based approach for COVID-19.

Scientific reports
COVID-19 is a highly communicable respiratory illness caused by the novel coronavirus SARS-CoV-2, which has had a significant impact on global public health and the economy. Detecting COVID-19 patients during a pandemic with limited medical facilitie...

Autonomous swab robot for naso- and oropharyngeal COVID-19 screening.

Scientific reports
The COVID-19 outbreak has triggered a global health and economic crisis, necessitating widespread testing to control viral spread amidst rising cases and fatalities. The recommended testing method, a combined naso- and oropharyngeal swab, poses risks...

A new era is emerging at scientific user facilities.

IUCrJ
Global scientific exchange has been profoundly perturbed by the COVID-19 pandemic, altering user travel behaviours and accelerating the use of remote access. Combined with the advent of artificial intelligence (AI), these trends together can change h...

Prospective Antiviral Effect of Aqueous Extract against COVID-19 Infection.

Marine drugs
Marine algal extracts exhibit a potent inhibitory effect against several enveloped and non-enveloped viruses. The infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has several adverse effects, including an increased mortality ...

A deep learning framework for predicting molecular property based on multi-type features fusion.

Computers in biology and medicine
Extracting expressive molecular features is essential for molecular property prediction. Sequence-based representation is a common representation of molecules, which ignores the structure information of molecules. While molecular graph representation...

RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases.

PloS one
Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more precise diagnoses and reduce misinterpretations in lung disease diagnosis. ...

Telepresence robots as facilitators of physical exercise during COVID-19: a feasibility and acceptance study.

Frontiers in public health
The COVID-19 pandemic and associated restrictions on mobility and access to green space have disrupted exercise habits worldwide. According to the World Health Organization (WHO), approximately 1.4 billion adults were insufficiently physically active...

Resisting the (re-)medicalisation of dying and grief in the post-digital age: Natural language processing and qualitative analysis of data from internet support forums.

Social science & medicine (1982)
In the mid-twentieth century, the social movement of death revivalism sought to resist the medicalisation of dying and grief through promotion of the dying person retaining autonomy, and societal openness toward death and bereavement. Despite this ad...