Table 2 ChatGPT performance accuracy in each subject comprising the MRCOG part one domains
From: Exploring the capabilities of ChatGPT in women’s health: obstetrics and gynaecology
Domain | Knowledge area | Correct | Incorrect | Total | p-value |
|---|---|---|---|---|---|
Cell Function | Biochemistry | 71 (79.8%) | 18 (20.2%) | 89 | 0.08 |
Endocrinology | 66 (74.2%) | 23 (25.8%) | 89 | ||
Physiology | 66 (65.3%) | 35 (34.7%) | 101 | ||
HumanStructure | Anatomy | 67 (63.2%) | 39 (36.8%) | 106 | 0.07 |
Embryology | 45 (80.4%) | 11 (19.6%) | 56 | ||
Genetics | 23 (74.2%) | 8 (25.8%) | 31 | ||
Illness | Clinical management | 20 (83.3%) | 4 (16.7%) | 24 | 0.49 |
Immunology | 21 (70.0%) | 9 (30.0%) | 30 | ||
Microbiology | 58 (80.6%) | 14 (19.4%) | 72 | ||
Pathology | 49 (83.1%) | 10 (16.9%) | 59 | ||
Measurement & Manipulation | Biophysics | 19 (51.4%) | 18 (48.6%) | 37 | 0.11 |
Data interpretation | 18 (69.2%) | 8 (30.8%) | 26 | ||
Epidemiology and statistics | 37 (63.8%) | 21 (36.2%) | 58 | ||
Pharmacology | 43 (75.4%) | 14 (24.6%) | 57 |
