ArticleAnnals of gastroenterological surgery2026
Educational Impact of Artificial Intelligence-Navigation Surgery on Anatomical Landmark Recognition in Medical Students.
Article in Annals of gastroenterological surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Artificial Intelligence for Automated Recognition of Hepatocystic Anatomy During Laparoscopic Cholecystectomy: Current Evidence, Clinical Readiness, and Future Directions.Medicina (Kaunas, Lithuania) · 2026Review
- Impact of artificial intelligence intervention on awareness of anatomical landmarks in laparoscopic gastrectomy: An exploratory study.Surgical endoscopy · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: We evaluated the educational impact of artificial intelligence (AI)-navigation surgery for medical students which provides real-time anatomical landmark recognition during laparoscopic cholecystectomy (LC). Methods: Thirty fifth-year medical students were randomly assigned to three groups: surgeon-guided ( Results: The mean Dice coefficients in the surgeon-guided (0.450 ± 0.025) and AI-learning groups (0.432 ± 0.038) were significantly higher in comparison to the self-learning group (0.351 ± 0.057, Conclusions: AI has the potential to complement surgeon's guidance, reducing faculty burden while maintaining educational quality in surgical education.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.