Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research.

Journal: BMJ open

Published Date: Oct 28, 2020

Abstract

OBJECTIVES: Given widespread interest in applying artificial intelligence (AI) to health data to improve patient care and health system efficiency, there is a need to understand the perspectives of the general public regarding the use of health data in AI research.

Authors

Melissa D McCradden

Division of Neurosurgery (McCradden, Baba, Saha, Boparai, Fadaiefard, Cusimano), St. Michael's Hospital, Unity Health Toronto; Dalla Lana School of Public Health (Cusimano), University of Toronto, Toronto, Ont. injuryprevention@smh.ca.
Tasmie Sarker

Health Team, Vector Institute, Toronto, Ontario, Canada.
P Alison Paprica

Health Team, Vector Institute, Toronto, Ontario, Canada alison.paprica@utoronto.ca.

Keywords

Adult Aged Artificial Intelligence Female Focus Groups Humans Male Medical Informatics Middle Aged Ontario Public Opinion Qualitative Research

External Resources

View on PubMed Access via DOI PubMed (33115901)

Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research.

Abstract

Authors

Keywords

External Resources

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