Artificial Intelligence for infectious disease Big Data Analytics

How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic

“…Thanks to the latest advancements in the field of computational techniques and information and communication technologies (ICTs), artificial intelligence (AI) and Big Data can help handle the huge, unprecedented amount of data derived from public health surveillance, real-time epidemic outbreaks monitoring, trend now-casting/forecasting, regular situation briefing and updating from governmental institutions and organisms, and health resources utilization information [7].…”

“…Together with molecular assays and tests, ether multiplex nucleic acid amplification or microarray-based, high-resolution CT of the chest is fundamental for monitoring the disease course and its evolution in terms of severity and response to treatment. Currently ongoing research is also trying to identify early radiological predictors of prognosis, which would be extremely helpful in stratifying patients with COVID-19 and in their clinical management [7,14,19].…”

“…AI can facilitate the diagnosis of COVID-19 cases. For instance, Infervision is a start-up that employs deep learning medical imaging platforms for facilitating quick diagnosis of COVID-19 cases via the recognition of specific lung features [7,14].…”

Use of artificial intelligence in infectious diseases

“…A group of experts in game has recently used AI approaches (disease simulation model) to demonstrate success in using AI algorithms to search for the optimal Malaria intervention strategies (Wilder et al, 2018). The variety and volume of existing data for malaria control is quite dense (e.g., Malaria Atlas Project, Malaria Immunology Database, Mapping Malaria Risk in Africa projects, Plas-moDB) and enabled such an approach (Wong et al, 2018;Okell et al, 2008). Very often, it is not the quantity but the quality and specificity of the input data that will influence the accuracy of the predictive model.…”

The COVID-19 outbreak: From “black swan” to global challenges and opportunities

“…12 Data can be transmitted to hospital information and security systems and can be matched with data collected by mobile applications to support contact tracing efforts amid the outbreak to limit the infection diffusion: however, data protection and data privacy regulations and laws must be guaranteed. 13,14 Which lessons from the middle of the storm we are still fighting against? We highlight at least three precious lessons:…”