AI Medical Compendium Topic:
COVID-19

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Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach.

EBioMedicine
BACKGROUND: Since the US reported its first COVID-19 case on January 21, 2020, the science community has been applying various techniques to forecast incident cases and deaths. To date, providing an accurate and robust forecast at a high spatial reso...

Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.

Journal of medical Internet research
BACKGROUND: An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19.

DRaW: prediction of COVID-19 antivirals by deep learning-an objection on using matrix factorization.

BMC bioinformatics
BACKGROUND: Due to the high resource consumption of introducing a new drug, drug repurposing plays an essential role in drug discovery. To do this, researchers examine the current drug-target interaction (DTI) to predict new interactions for the appr...

Scientific novelty beyond the experiment.

Microbial biotechnology
Practical experiments drive important scientific discoveries in biology, but theory-based research studies also contribute novel-sometimes paradigm-changing-findings. Here, we appraise the roles of theory-based approaches focusing on the experiment-d...

Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence.

Frontiers in public health
One key task in the early fight against the COVID-19 pandemic was to plan non-pharmaceutical interventions to reduce the spread of the infection while limiting the burden on the society and economy. With more data on the pandemic being generated, it ...

Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study.

Frontiers in public health
PURPOSE: The COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher demand for healthcare and misinformation related to COVID-19, there is a need to explore alternative models to improve communication. Artificial Intel...

Spatial and deep learning analyses of urban recovery from the impacts of COVID-19.

Scientific reports
This study investigates urban recovery from the COVID-19 pandemic by focusing on three main types of working, commercial, and night-life activities and associating them with land use and inherent socio-economic patterns as well as points of interests...

Prediction models for the impact of the COVID-19 pandemic on research activities of Japanese nursing researchers using deep learning.

Japan journal of nursing science : JJNS
AIM: This study aimed to construct and evaluate prediction models using deep learning to explore the impact of attributes and lifestyle factors on research activities of nursing researchers during the COVID-19 pandemic.

Nurses' perception towards care robots and their work experience with socially assistive technology during COVID-19: A qualitative study.

Geriatric nursing (New York, N.Y.)
This study aimed to explore nurses' perceptions towards care robots and their work experiences in caring for older adults who use socially assistive technology. This qualitative descriptive study included 18 nurses who cared for older adults with dem...