AIMC Topic: Pandemics

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Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques.

Frontiers in public health
INTRODUCTION: Machine-assisted topic analysis (MATA) uses artificial intelligence methods to help qualitative researchers analyze large datasets. This is useful for researchers to rapidly update healthcare interventions during changing healthcare con...

Using artificial intelligence to improve public health: a narrative review.

Frontiers in public health
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, in public health, the widespread employment of AI only began re...

The role of innovative technologies in reducing health system inequity.

Healthcare management forum
The scarcity of Health Human Resources (HHR), regional disparities, and decentralized healthcare systems have profoundly affected health equity in Canada. Adequate HHR allocation is essential for equitable healthcare delivery, and the COVID-19 pandem...

Revolutionizing drug formulation development: The increasing impact of machine learning.

Advanced drug delivery reviews
Over the past few years, the adoption of machine learning (ML) techniques has rapidly expanded across many fields of research including formulation science. At the same time, the use of lipid nanoparticles to enable the successful delivery of mRNA va...

Using artificial intelligence algorithms to predict the overall survival of hemodialysis patients during the COVID-19 pandemic: A prospective cohort study.

Journal of the Chinese Medical Association : JCMA
BACKGROUND: Hemodialysis (HD) patients are a vulnerable population at high risk for severe complications from COVID-19. The impact of partial COVID-19 vaccination on the survival of HD patients remains uncertain. This prospective cohort study was des...

COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador.

SLAS technology
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties worldwide. Immediate and precise screening of affected patients is critical for disease control. COVID-19 is often confused with various other respirator...