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Multidisciplinary tumor board decisions and artificial intelligence-generated recommendations in general surgery: a
Akile Zengin Deniz1, Orkhan Ulfanov2, Yavuz Selim Angin2
1Department of Gastrointestinal Surgery, Eskisehir Osmangazi University, Eskisehir, Turkey. dr.akile.zengin@gmail.com.
Updates in Surgery
|June 30, 2026
Summary
Artificial intelligence (AI) shows high concordance with multidisciplinary tumor board (MTB) decisions in surgical oncology. While AI can support decision-making, it does not replace expert clinical judgment for complex cancer cases.
Area of Science:
- Oncology
- Surgical Oncology
- Artificial Intelligence in Medicine
Background:
- AI decision support systems are increasingly used in surgical oncology.
- Concordance between AI and multidisciplinary tumor board (MTB) decisions is not well-defined, especially for gastrointestinal malignancies.
Purpose of the Study:
- To assess the concordance between AI (ChatGPT-based) recommendations and MTB decisions for oncological surgery.
- To identify reasons for discordance in complex cancer cases.
Main Methods:
- Retrospective observational study of 47 patients discussed at an MTB.
- Comparison of MTB treatment decisions with AI-generated recommendations.
- Categorization of concordance: discordant, partially concordant, or fully concordant.
Main Results:
- 85.1% of cases showed at least partial concordance between AI and MTB decisions.
- Full concordance in 38.3%, partial in 46.8%, and discordance in 14.9%.
- Discordance often stemmed from differing resectability assessments and staging interpretations.
Conclusions:
- AI recommendations have substantial overlap with MTB decisions but diverge on critical surgical points.
- AI can serve as a complementary tool, not a substitute for multidisciplinary clinical judgment in oncological surgery.