Can deep learning AI help with detecting COVID-19/coronavirus?

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Join us live where we will have a live paper discussion session on the recent paper on using deep learning to detect COVID-19 from CT lung scan.

For slides, paper and more details, visit https://aisc.ai.science/events/2020-03-04/

Papers to be discussed:
The Lancet: Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(20)30074-7/fulltext
JAMA: Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China https://jamanetwork.com/journals/jama/fullarticle/2762130
Springer: 2019 Novel coronavirus: where we are and what we know https://link.springer.com/article/10.1007%2Fs15010-020-01401-y
RSNA: Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases https://pubs.rsna.org/doi/10.1148/radiol.2020200642
MedRXIV: Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective study https://www.medrxiv.org/content/10.1101/2020.02.25.20021568v2

For slides and more information on the paper, visit https://aisc.ai.science/events/2020-03-04

Discussion leads: Xiyang Chen (CTO of Aggregate Intellect), Shazia Akbar (ML Engineer at Altis Labs), Isha Berry (PhD Candidate at University of Toronto)



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Tags:
deep learning
coronavirus
covid-19
unet++
unet
machine learning
ai
artificial intelligence