Diagnostic accuracy of ChatGPT-4 in light of data derived from patient’s clinical and imaging findings in gastrointestinal surgery

Aim: This study aims to evaluate the diagnostic accuracy (DA) of Methods: 231 GIS cases from between October 1 2021 and January 10 2024 were sourced from the International Journal of Surgery Case Rep ChatGPT-4 was used to generate diagnoses based on the patient's medical histories and categorized by anatomical location (esophagus, gastric, Results: ChatGPT-4 generated 2-10 differential diagnoses per case (median: 5, mean: 4.81.gender, or the number of differential diagnoses (p=0.687 and p=0.862).A significant difference was found between anatomical localizations according to the urgency of the cases (p<0.001).Overall, ChatG final diagnoses (p<0.001 and p=0.035).During the trained period, accuracy was 82.9% (differential) and 59.1% (final), while period it was 83.6% (differential) and 52.2% (final). Conclusion:In this large-scale, case-based evaluation, ChatGPT (DA 83.1%) compared to establishing final diagnoses (DA 57.1%).Diagnostic accuracy was slightly final diagnoses (59.1% vs. 52.2%).These findings indicate that ChatGPT diagnostic stage by broadening the differential diagnosis li into practice.