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. 2021 Aug 26;23(8):e26162. doi: 10.2196/26162

Table 3.

Respondents’ opinions on artificial intelligence and machine learning.

Question Number of respondents Responses


Never heard of (%) Slightly aware (%) Somewhat aware (%) Moderately aware (%) Extremely aware (%)
How much would you say you know about "artificial intelligence?" 407 22.9 20.4 20.9 29.2 6.6


Never heard of (%) Slightly aware (%) Somewhat aware (%) Moderately aware (%) Extremely aware (%)
How much would you say you know about “machine learning?” 407 27.3 21.9 22.4 22.9 5.7


Very negative (%) Slightly negative (%) Not sure (%) Slightly positive (%) Very positive (%)
What do you think the perception of artificial intelligence is in the media? 207 1.4 29.5 25.6 34.3 9.2


Strongly distrust (%) Slightly distrust (%) Not sure (%) Slightly trust (%) Strongly trust (%)
Do you trust artificial intelligence? 206 3.4 12.6 29.5 43.5 10.6


Risk outweighs benefits (%) Risk and benefits equal (%) Benefits outweighs risk (%) Don’t know (%)
Do you think the benefits of using machine learning to analyze medical records to help diagnose patients outweighs the risks? 205 6.8 22.7 45.9 23.7


Strongly oppose (%) Tend to oppose (%) Neither support nor oppose (%) Tend to support (%) Strongly support (%)
To what extent would you support the use of machine learning to develop technology that could potentially offer earlier diagnosis and more accurate treatments to patients? 206 0.5 3.4 8.7 52.7 34.3


Strongly oppose (%) Tend to oppose (%) Neither support nor oppose (%) Tend to support (%) Strongly support (%)
To what extent would you support the use of machine learning to interpret health care imaging as an aid for doctors when reporting these images? 206 1.0 2.9 9.7 48.1 38.3