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Using Artificial Intelligence for High-Volume Identification of Silicosis and Tuberculosis: A Bio-Ethics Approach Cover

Using Artificial Intelligence for High-Volume Identification of Silicosis and Tuberculosis: A Bio-Ethics Approach

Annals of Global Health
Volume 87 (2021): Issue 1
By: Jerry M. Spiegel,  Rodney Ehrlich,  Annalee Yassi,  Francisco Riera,  James Wilkinson,  Karen Lockhart,  Stephen Barker and  Barry Kistnasamy  
Open Access
|Jul 2021

Authors

Jerry M. Spiegel

jerry.spiegel@ubc.ca

School of Population and Public Health, The University of British Columbia, Vancouver, BC

Rodney Ehrlich

rodney.ehrlich@uct.ac.za

School of Public Health and Family Medicine, University of Cape Town, Cape Town

Annalee Yassi

annalee.yassi@ubc.ca

School of Population and Public Health, The University of British Columbia, Vancouver, BC

Francisco Riera

francisco.riera@imcworldwide.com

IMC Worldwide Inc., London

James Wilkinson

james@hellobrink.co

Brink, London

Karen Lockhart

karen.lockhart@ubc.ca

School of Population and Public Health, The University of British Columbia, Vancouver, BC

Stephen Barker

stephen.barker@ubc.ca

School of Population and Public Health, The University of British Columbia, Vancouver, BC

Barry Kistnasamy

Barry.Kistnasamy@health.gov.za

National Department of Health, Johannesburg
DOI: https://doi.org/10.5334/aogh.3206 | Journal eISSN: 2214-9996
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Language: English
Published on: Jul 1, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Jerry M. Spiegel, Rodney Ehrlich, Annalee Yassi, Francisco Riera, James Wilkinson, Karen Lockhart, Stephen Barker, Barry Kistnasamy, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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