Table 4 Perceptions of medical students towards the benefits of large language models
Gender1 | Understanding of large language models2 | Degree of trust in the information provided by large language models2 | ||||||
|---|---|---|---|---|---|---|---|---|
Male | Female | Never heard | Heard but never used | Heard and used | Low trust | Moderate trust | High trust | |
Versatile across diverse scenarios and exhibiting robust scalability | ||||||||
Agree | 746 (91.0) | 829 (92.3) | 240 | 769 | 566 | 189 | 1257 | 129 |
Disagree | 74 (9.0) | 69 (7.7) | 61 | 55 | 27 | 69 | 69 | 5 |
χ2 | 1.01 | 70.20 | 135.34 | |||||
p-value | 0.32 | < 0.001 | < 0.001 | |||||
Robust linguistic abilities | ||||||||
Agree | 740 (90.2) | 814 (90.6) | 246 | 762 | 546 | 195 | 1228 | 131 |
Disagree | 80 (9.8) | 84 (9.4) | 55 | 62 | 47 | 63 | 98 | 3 |
χ2 | 0.08 | 32.25 | 81.51 | |||||
p-value | 0.77 | < 0.001 | < 0.001 | |||||
Assisting in addressing everyday challenges | ||||||||
Agree | 695 (84.8) | 778 (86.6) | 230 | 711 | 532 | 170 | 1176 | 127 |
Disagree | 125 (15.2) | 120 (13.3) | 71 | 113 | 61 | 88 | 150 | 7 |
χ2 | 1.24 | 29.28 | 101.50 | |||||
p-value | 0.27 | < 0.001 | < 0.001 | |||||
Enhance learning and work efficiency while alleviating burdens | ||||||||
Agree | 743 (90.6) | 812 (90.4) | 243 | 745 | 567 | 182 | 1243 | 130 |
Disagree | 77 (9.4) | 86 (9.6) | 58 | 79 | 26 | 76 | 83 | 4 |
χ2 | 0.02 | 51.50 | 142.50 | |||||
p-value | 0.90 | < 0.001 | < 0.001 | |||||
Delivering superior intelligent services | ||||||||
Agree | 741 (90.4) | 834 (92.9) | 246 | 768 | 561 | 189 | 1258 | 128 |
Disagree | 79 (9.6) | 64 (7.1) | 55 | 56 | 32 | 69 | 68 | 6 |
χ2 | 3.53 | 48.22 | 135.07 | |||||
p-value | 0.06 | < 0.001 | < 0.001 | |||||