Skip to main content

Table 1 Survey demographic data

From: Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study

Age, mean (SD)

25.34 (4.26)

Total participants

475

Survey Population Characteristics

N (%)

Gender

 Female

300 (63.2)

 Male

166 (34.9)

 Non-binary

3 (0.6)

 Prefer not to disclose

5 (1.1)

Year of Medical Training

 1st

214 (45.1)

 2nd

130 (27.4)

 3rd

73 (15.4)

 4th

48 (10.1)

 M.D. MSc

4 (0.8)

 M.D. PhD

5 (1.1)

What level of education did you achieve before beginning medical education?

 High School

18 (3.8)

 College Diploma

33 (6.9)

 Bachelor’s Degree

287 (60.4)

 Master’s Degree

120 (25.3)

 PhD or Doctorate

13 (2.7)

 Prefer not to disclose

3 (0.6)

 Do you have an immediate family member with an advanced degree (Master’s or Doctorate or similar)?

273 (57.5)

 Do you have a background in mathematics, statistics, or computer science?

74 (15.6)

 Do you consider yourself to be “tech-savvy”, or have a high degree of technological literacy?

183 (38.5)