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AI system for fast COVID-19 detection and risk assessment from chest X-rays
- 1. COVID-NET AI SYSTEM FOR COVID-19 DETECTION BUILD AI YOU CAN TRUST
- 2. 2 PRIVATE AND CONFIDENTIAL • Founded in 2017 by University of Waterloo faculty and alumni • 25 people: blend of academics and enterprise developers • Strong academic pedigree (Several NeurIPS workshop paper awards) • Differentiated tech for deep learning • Gartner Cool Vendor for Enterprise AI • CBInsights Game Changer startup for 2020 Company Overview Partners Investors In the News
- 3. CONFIDENTIAL The Team 3 Sheldon Fernandez CEO Arif Virani COO Co-founder, Infusion (acq. by Avanade) MTs from UofT Ex-McKinsey MBA from Wharton Mohammad Javad Shafiee Co-founder, VP Research Research Professor, Waterloo PhD from Waterloo Alexander Wong Co-founder, Chief Scientist Associate Professor, Waterloo Founding member of Waterloo AI institute Canada Research Chair in AI 25+ Employees 14 PhD & Masters 500+ Combined peer reviewed articles 25+ Combined patents & filings 20+ Combined research awards Experts in AI/ML, computational imaging, computer vision, analytics
- 5. CONFIDENTIAL COVID-Net1 Neural networks for COVID-19 detection and risk stratification via chest radiography Example chest radiography images of COVID-19 cases from 2 different patients and their associated critical factors (highlighted in red) as identified by GenSynth Explain. 1DarwinAI open source project in conjunction with UW. See: https://darwinai.news/COVIDnet
- 6. CONFIDENTIAL Project specifics • COVIDx dataset − 13,800 chest X-Rays across 13,725 patient cases from around the world • COVIDNet-CXR-Large / COVIDNet-CXR-Small − Balance between performance / computational efficiency • COVIDNet-Risk − Neural network for risk stratification • COVIDNet-CT − Neural network for CT scans
- 7. CONFIDENTIAL Complementary Tool • Standard approach − Polymerase Chain Reaction (PCR) test − Reliable but slow; specialized chemicals and skills required • COVID-Net/X-Rays − A Complementary tool − Rapid screening − Risk stratification
- 8. CONFIDENTIAL COVID-Net Benefits • Faster screening − Improved population management − Individualized care based on risk and severity
- 9. CONFIDENTIAL Risk Stratification • COVID-RiskNet to measure: − Virus acuity − Patient mortality − Hospital duration • Resource management − Just-in-Time inventory planning (a problem) − Better estimate patient acuity and hospital duration − Channel resources; share among sites
- 10. CONFIDENTIAL Explainable AI (XAI) • 'Block Box' problem in AI − Inability to understand why AI is reaching its decisions − No insight into prediction or diagnosis − DarwinAI's proprietary technology illuminates the black box
- 11. CONFIDENTIAL Example: Verify AI is making the right decision for the right reasons
- 12. Explainable Design Automation ▪ Idea: Working with explainable AI to design highly efficient, highly accurate, highly dependable deep neural networks based on human-driven design and requirements. (AI as a collaborator) ▪ Explainable AI learns from developer’s needs and prototypes and ‘explains’ to a Generator how to design multiple solutions with different trade-offs ▪ Iterate with AI to rapidly build customized solutions tailored for tasks at hand
- 13. CONFIDENTIAL DarwinAI COVID-Net application • Sits atop of COVID-Net neural network • Intuitive user interface for health professionals • Identifies critical factors behind diagnosis
- 15. CONFIDENTIAL Use cases for Defense • Military bases • Health affairs (review and testing) • Veterans administration hospital system • Overseas facilities
- 16. 16 THANK YOU CONTACT US FOR MORE INFORMATION: www.darwinai.ca info@darwinai.ca 519-886-6600