Table 3 ChatGPT performance accuracy in the MRCOG part two
From: Exploring the capabilities of ChatGPT in women’s health: obstetrics and gynaecology
Knowledge area | Correct | Incorrect | Total |
|---|---|---|---|
Antenatal care | 48 (39.0%) | 75 (61.0%) | 123 |
Clinical skills | 9 (52.9%) | 8 (47.1%) | 17 |
Core surgical skills | 28 (40.0%) | 42 (60.0%) | 70 |
Early pregnancy care | 24 (52.2%) | 22 (47.8%) | 46 |
Gynaecological oncology | 29 (50.9%) | 28 (49.1%) | 57 |
Gynaecological problems | 107 (51.2%) | 102 (48.8%) | 209 |
Management of delivery | 17 (56.7%) | 13 (43.3%) | 30 |
Management of labour | 16 (35.6%) | 29 (64.4%) | 45 |
Maternal medicine | 95 (55.6%) | 76 (44.4%) | 171 |
Postoperative care | 13 (56.5%) | 10 (43.5%) | 23 |
Postpartum problems | 18 (56.2%) | 14 (43.8%) | 32 |
Sexual & reproductive health | 17 (51.5%) | 16 (48.5%) | 33 |
Subfertility | 18 (50.0%) | 18 (50.0%) | 36 |
Teaching & research | 25 (58.1%) | 18 (41.9%) | 43 |
Urogynaecology & pelvic floor problems | 34 (63.0%) | 20 (37.0%) | 54 |
Total | 498 | 491 | 989 |
