Table 1.
Yearly Accuracy Rates (%) of AI Models and Orthopedic Residents in UEGS
Year | Correct answer percentage % | p | ||||
---|---|---|---|---|---|---|
ChatGPT-4o | Gemini | Bing AI | DeepSeek | UEGS participants | ||
2010 | 57.0 | 87.0 | 64.0 | 72.0 | 51.90 | p<0.001 |
2011 | 52.0 | 78.0 | 93.0 | 81.0 | 50.10 | |
2012 | 51.0 | 69.0 | 70.0 | 65.0 | 46.80 | |
2013 | 56.0 | 66.0 | 82.0 | 69.0 | 49.10 | |
2014 | 56.0 | 72.0 | 77.0 | 66.0 | 45.05 | |
2015 | 54.0 | 66.0 | 69.0 | 64.0 | 43.95 | |
2016 | 52.5 | 73.5 | 69.5 | 67.0 | 47.85 | |
2017 | 55.5 | 78.5 | 75.0 | 63.5 | 52.00 | |
2018 | 59.5 | 73.0 | 75.5 | 67.0 | 49.35 | |
2019 | 58.5 | 81.0 | 90.0 | 80.0 | 48.65 | |
2021 | 58.0 | 83.5 | 85.5 | 79.0 | 53.45 |