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©The Author(s) 2025.
World J Gastrointest Surg. Aug 27, 2025; 17(8): 109463
Published online Aug 27, 2025. doi: 10.4240/wjgs.v17.i8.109463
Published online Aug 27, 2025. doi: 10.4240/wjgs.v17.i8.109463
Table 6 Artificial intelligence based and robotics enhanced surgical education and performance assessment
Ref. | Surgical procedure/task | AI method/model | Assessment modality | Data type/source | Performance metrics | Educational outcome |
Garfinkle et al[53], 2022 | Gastrointestinal and endoscopic surgery (priority setting) | Survey/Delphi | Survey data from SAGES member surgeons | Identified core needs: Video training, tech adoption | ||
Huo et al[54], 2024 | Surgical decision making for GERD | ChatGPT 3.5/4, copilot, Google Bard, Perplexity AI | Prompt based guideline comparison | Standardized clinical vignettes based on SAGES guidelines | Surgeons (accuracy): Bard 6/7 (85.7%), ChatGPT 4 5/7 (71.4%); patients (accuracy): Bard 4/5 (80.0%), ChatGPT 4 3/5 (60.0%); children: Copilot & Bard 3/3 (100.0%) | Revealed inconsistencies in LLM advice; need for medical domain training |
Huo et al[55], 2024 | Surgical management of GERD | Generic ChatGPT 4 vs customized GPT (GTS) | Prompt based guideline comparison | 60 surgeon cases and 40 patient cases based on SAGES and UEG EAES guidelines | GTS (custom GPT): 100% accuracy for both surgeons (60/60) and patients (40/40), generic GPT 4 66.7% (40/60) for surgeons, 47.5% (19/40) for patients | Demonstrated impact of domain customization in LLMs |
Nasir et al[56], 2021 | Robotic rectal cancer surgery | No AI model used (robotics only) | RCTs, observational studies, registry data | Reduced conversion to open surgery (especially in obese/male patients); improved urogenital function; no difference in long term oncologic outcomes | Reinforced need for structured robotic training (e.g., EARCS) |
- Citation: Tasci B, Dogan S, Tuncer T. Artificial intelligence in gastrointestinal surgery: A systematic review. World J Gastrointest Surg 2025; 17(8): 109463
- URL: https://www.wjgnet.com/1948-9366/full/v17/i8/109463.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v17.i8.109463