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May 28, 2020, 9:36 a.m. EDT

A Groundbreaking Approach to Screening Lungs for the Coronavirus

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May 28, 2020 (Baystreet.ca via COMTEX) -- The pandemic making its way around the world has created substantial for artificial intelligence. In fact, according to Wired, “A 2019 study covering 19 countries’ artificial intelligence health care markets estimated a 41.7 percent compound annual growth rate, from $1.3 billion in 2018 to $13 billion in 2025, in six major growth areas: hospital workflow, wearables, medical imaging and diagnosis, therapy planning, virtual assistants, and, lastly but most significantly, drug discovery. Covid-19 will accelerate those trends rapidly.” Such technology can also assist in spotting pandemics, and issues early.

For example, researchers at Mount Sinai Health were able to combine AI, imaging, and clinical data to detect the virus in patients, notes Healthcare IT News. In a study in Nature Medicine, researchers were able to use AI along with chest scans to diagnose patients. In addition, AI technologies have been rapidly deployed around the world to help detect the virus. That’s opening a sizable opportunity for top companies such as Patriot One Technologies Inc. /zigman2/quotes/200231661/delayed CA:PAT -4.10% (otcqx:PTOTF), Alphabet Inc. /zigman2/quotes/205453964/composite GOOG +2.04% , Amazon.com Inc. /zigman2/quotes/210331248/composite AMZN +0.55% , Health Catalyst Inc. /zigman2/quotes/213268802/composite HCAT +4.75% , and IBM /zigman2/quotes/203856914/composite IBM +2.28% .

Patriot One Technologies Inc. /zigman2/quotes/200231661/delayed CA:PAT -4.10% (otcqx:PTOTF) BREAKING NEWS: Patriot One Technologies Inc. wholly-owned subsidiary Xtract Technologies is collaborating with Amazon Web Services (AWS), Vancouver General Hospital (VGH), the University of British Columbia (UBC), and SapienML among others in the development of an Artificial Intelligence (AI) solution to help radiologists identify the increased risk of the COVID-19 virus. The project is being led by Dr. Savvas Nicolaou and Dr. William Parker, and is supported by the UBC Community Health and Wellbeing Cloud Innovation Center (UBC-CIC), powered by Amazon Web Services (AWS).

The UBC- CIC’s mission is to: solve real-world challenges that materially benefit British Columbia, Canada and the world, by engaging and collaborating with stakeholders in Community Health and Wellbeing innovation challenges, and make the solutions available open source globally. Additional support for the project is being provided by the Vancouver Coastal Health Research Institute (VCHRI).

Data is being used from CT and X-ray scans obtained from around the world, with annotations from a group of 14 radiologists volunteering their time. The annotators are labelling the images to segment them into three classes: background, normal lung, and Ground Glass Opacity (GGO). The percentage of lung volume affected by GGO is a leading indicator for COVID-19, and the development of an automated approach to assess this can greatly assist medical practitioners to quickly diagnose early onset of the virus.

Using these labeled images, the Xtract AI team is training innovative 3D residual networks, a particular style of AI algorithm, to automatically identify GGO volumes in the lungs and compare them with the total volume of the lungs. The ratio of affected lung, and thereby an indicator for COVID-19, in new patients can then be calculated from analyzing CT and X-ray images of their lungs. The team will continue to improve the model as more data becomes available, with the aim of achieving >90% diagnostic accuracy.

“AI models are not magic, but this model we’ve developed is an open source gift to start answering questions” said Dr. William Parker, who is leading the project, and is a radiology resident at UBC. “If we are going to get to the point of helping patients, we need to know the strengths and weaknesses of the models, and we need to have an understanding that not all models are created equal. The goal of our AI model is to drive feedback so that we can improve the model and make it available for clinical use in the fall of 2020.”

The model has been released under an open source license, to be shared with health care facilities worldwide to help early diagnosis of COVID-19 patients. Martin Cronin, CEO of Patriot One Technologies said “This is an incredibly important project, which we are proud to be a collaborator on, and we hope that our team and technology can provide a meaningful addition to the ongoing efforts to minimize COVID-19’s impact on the world.”

Other developments from around the markets include:

/zigman2/quotes/200231661/delayed
CA : Canada: Toronto
$ 1.17
-0.05 -4.10%
Volume: 281,146
July 10, 2020 3:59p
P/E Ratio
N/A
Dividend Yield
N/A
Market Cap
$172.92 million
Rev. per Employee
N/A
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/zigman2/quotes/205453964/composite
US : U.S.: Nasdaq
$ 1,541.74
+30.75 +2.04%
Volume: 1.86M
July 10, 2020 4:00p
P/E Ratio
31.11
Dividend Yield
N/A
Market Cap
$1051.48 billion
Rev. per Employee
$1.39M
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/zigman2/quotes/210331248/composite
US : U.S.: Nasdaq
$ 3,200.00
+17.37 +0.55%
Volume: 5.49M
July 10, 2020 4:00p
P/E Ratio
152.86
Dividend Yield
N/A
Market Cap
$1596.08 billion
Rev. per Employee
$359,671
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/zigman2/quotes/213268802/composite
US : U.S.: Nasdaq
$ 33.95
+1.54 +4.75%
Volume: 1.61M
July 10, 2020 4:00p
P/E Ratio
N/A
Dividend Yield
N/A
Market Cap
$1.29 billion
Rev. per Employee
N/A
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/zigman2/quotes/203856914/composite
US : U.S.: NYSE
$ 118.35
+2.64 +2.28%
Volume: 4.29M
July 10, 2020 4:00p
P/E Ratio
11.72
Dividend Yield
5.51%
Market Cap
$105.08 billion
Rev. per Employee
$208,845
loading...
/zigman2/quotes/200231661/delayed
CA : Canada: Toronto
$ 1.17
-0.05 -4.10%
Volume: 281,146
July 10, 2020 3:59p
P/E Ratio
N/A
Dividend Yield
N/A
Market Cap
$172.92 million
Rev. per Employee
N/A
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