Copyright
©The Author(s) 2025.
World J Transplant. Sep 18, 2025; 15(3): 103536
Published online Sep 18, 2025. doi: 10.5500/wjt.v15.i3.103536
Published online Sep 18, 2025. doi: 10.5500/wjt.v15.i3.103536
Table 1 Overall ChatGPT performance in assigning context labels across 294 virtual cases, highlighting agreement with predefined labels, n (%)
| Actual label | Assigned label, GI | Assigned label, diagnosis | Assigned label, DD | Assigned label, treatment | Assigned label, prognosis | Assigned label, total |
| GI | 33 (11.22) | 20 (6.8) | 6 (24) | 16 (5.44) | 3 (12) | 78 (26.53) |
| Diagnosis | 8 (2.72) | 33 (11.22) | 5 (1.7) | 0 (0) | 2 (0.68) | 48 (16.33) |
| DD | 0 (0) | 11 (3.74) | 11 (3.74) | 0 (0) | 0 (0) | 22 (7.48) |
| Treatment | 9 (36) | 10 (3.4) | 2 (0.68) | 64 (21.77) | 1 (0.34) | 86 (29.25) |
| Prognosis | 12 (48) | 12 (48) | 3 (12) | 3 (12) | 30 (10.2) | 60 (20.41) |
| Total | 62 (219) | 86 (29.25) | 27 (9.18) | 83 (28.23) | 36 (12.24) | 294 (100) |
- Citation: Christou CD, Sitsiani O, Boutos P, Katsanos G, Papadakis G, Tefas A, Papalois V, Tsoulfas G. Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantation. World J Transplant 2025; 15(3): 103536
- URL: https://www.wjgnet.com/2220-3230/full/v15/i3/103536.htm
- DOI: https://dx.doi.org/10.5500/wjt.v15.i3.103536