Table. Characteristics of Participants Who Were Randomized and Completed at Least 1 Clinical Vignettea.
| Subject characteristics | No. (%) of participants | |
|---|---|---|
| AI model alone | AI model and explanations | |
| Randomized and completed at least 1 vignette | 231 | 226 |
| Complete all vignettes | 214 (93) | 204 (90) |
| Response time for completing survey, median (IQR), min | 19 (14-32) | 19 (14-27) |
| Completed postsurvey questions | 214 | 204 |
| Age, median (IQR), y | 35 (31-40) | 34 (31-38) |
| Years of practice, median (IQR)b | 5 (2-9) | 4 (2-8) |
| Prior interaction with AI | 70 (32.7) | 62 (30.4) |
| AI bias aware | 68 (31.8) | 71 (34.8) |
| Sexc | ||
| Female | 123 (57.5) | 118 (57.8) |
| Male | 82 (38.3) | 82 (40.2) |
| Prefer not to say | 9 (4.2) | 3 (1.5) |
| Nonbinary or nonconforming | 0 | 1 (0.5) |
| General practice area | ||
| Hospital medicine | 210 (98.1) | 198 (97.1) |
| Other | 4 (1.9) | 6 (2.9) |
| Role on health care team | ||
| Attending physician | 138 (64.5) | 121 (59.3) |
| Physician assistant | 55 (25.7) | 57 (27.9) |
| Nurse practitioner | 12 (5.6) | 18 (8.8) |
| Resident or fellow | 7 (3.3) | 8 (3.9) |
| Other | 2 (0.9) | 0 |
| Hospital setting | ||
| University hospital or academic | 186 (86.9) | 175 (85.8) |
| Community hospital or private practice | 32 (15.0) | 30 (14.7) |
| No response | 17 (7.9) | 23 (11.3) |
| Veterans Affairs or government | 11 (5.1) | 11 (5.4) |
| Race and ethnicity | ||
| Asian | 48 (22.4) | 32 (15.7) |
| Black | 4 (1.9) | 3 (1.5) |
| Hispanic or Latinx | 8 (3.7) | 7 (3.4) |
| Middle Eastern | 5 (2.3) | 5 (2.5) |
| Native Hawaiian or Pacific Islander | 1 (0.5) | 0 |
| White | 139 (65.0) | 146 (71.6) |
| No response | 17 (7.9) | 22 (10.8) |
| Other | 1 (0.5) | 2 (1.0) |
| Prefer not to say | 14 (6.5) | 14 (6.9) |
Abbreviation: AI, artificial intelligence.
a
Percentages for demographic, AI interaction, and AI bias questions are based on participants who responded. Participants could respond with more than 1 answer for the hospital setting and race and ethnicity questions, so totals and percentages are greater than 100%.
b
Years of practice was defined as the number of years since participants completed their terminal medical training (eg, years since completing medical residency).
c
Participants identified their sex by selecting from the following: male, female, nonbinary or nonconfroming, transgender, other, or prefer not to say.