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WHITE PAPER
Year : 2021  |  Volume : 6  |  Issue : 5  |  Page : 8-18

Artificial intelligence and its contribution to overcome COVID-19


1 Department of Medicine, University of Toronto; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
2 Office of Research Services, Innovation and Entrepreneurship, Durham College of Applied Arts and Technology, Oshawa, Ontario, Canada
3 Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
4 KITE Research Institute, Toronto Rehabilitation Institute, University Health Network; Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Ontario, Canada
5 Mila, University of Montréal, Montreal, Quebec, Canada
6 School of Engineering Science, Simon Fraser University, Vancouver, Ontario, Canada
7 Mahajan Imaging Centre, New Delhi, India
8 Radical Ventures, Toronto, Ontario, Canada
9 Noetic Fund, Toronto, Ontario, Canada
10 Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
11 Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
12 Alpha Global IT, Toronto, Ontario, Canada

Correspondence Address:
Dr Arun Chockalingam
Department of Medicine and Global Health, University of Toronto, Toronto
Canada
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2468-8827.330646

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Artificial intelligence (AI) has a great impact on our daily living and makes our lives more efficient and productive. Especially during the coronavirus disease (COVID-19) pandemic, AI has played a key role in response to the global health crisis. There has been a boom in AI innovation and its use since the pandemic. However, despite its widespread adoption and great potential, most people have little knowledge of AI concepts and realization of its potential. The objective of this white paper is to communicate the importance of AI and its benefits to society. The report covers AI applications in six different topics from medicine (AI deployment in clinical settings, imaging and diagnostics, and acceleration of drug discovery) to more social aspects (support older adults in long-term care homes, and AI in supporting small and medium enterprises. The report ends with nine steps to consider for moving forward with AI implementation during and post pandemic period. These include legal and ethical data collection and storage, greater data access, multidisciplinary collaboration, and policy reform.


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