The Role of Artificial Intelligence in the Intraoperative Detection of Critical Structures in Laparoscopic Cholecystectomy

Authors

  • Eduarda Lima Crosara Bastos
  • Beatriz Oliveira Silva Copenhagen
  • Walter Johnatha dos Santos Pereira
  • Caroline Souza Oliveira
  • Bernardo Lemos Monteiro Belem
  • Mac Daves de Morais Freire Filho
  • Gabriel Soares Lustosa Victor

Keywords:

Laparoscopic cholecystectomy, Artificial intelligence.

Abstract

 

Objective:  Laparoscopic cholecystectomy (LC) is the gold-standard treatment for symptomatic cholelithiasis but remains linked to bile duct injury (BDI), a severe complication with major clinical impact. Artificial intelligence (AI) has been applied to enhance intraoperative safety, mainly through automated recognition of critical structures and the Critical View of Safety (CVS). This integrative review in PubMed included four articles (2015–2025). Studies reported an average accuracy of 98% using models such as GoNoGoNet and CholeNet, sometimes outperforming surgeons. In addition to clinical applications, AI proved useful for resident training and standardization. Nevertheless, technical limitations persist and multicenter validation is required.

References

Fernicola A, Palomba G, Capuano M, De Palma GD, Aprea G. Artificial intelligence applied to laparoscopic cholecystectomy: what is the next step? A narrative review. Updates Surg. 2024 Sep;76(5):1655-1667.

Wu S, Tian … Impact of an AI-based laparoscopic cholecystectomy coaching program on the surgical performance: a randomized controlled trial. [Journal not specified]. 2024.

Corallino D, Balla A, Coletta D, Pacella D, Podda M, et al. Systematic review on the use of artificial intelligence to identify anatomical structures during laparoscopic cholecystectomy: a tool towards the future. Langenbecks Arch Surg. 2025 Mar 18;410(1):101.

Madani A, Namazi B, Altieri MS, Hashimoto DA, Rivera AM, Pucher PH, et al. Artificial Intelligence for Intraoperative Guidance: Using Semantic Segmentation to Identify Surgical Anatomy During Laparoscopic Cholecystectomy. Ann Surg. 2022;276(2):363-369.

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Published

2026-03-24

How to Cite

Bastos, E. L. C., Copenhagen, B. O. S., Pereira, W. J. dos S., Oliveira, C. S., Belem, B. L. M., Freire Filho, M. D. de M., & Victor, G. S. L. (2026). The Role of Artificial Intelligence in the Intraoperative Detection of Critical Structures in Laparoscopic Cholecystectomy. Revista De Divulgação Científica Sena Aires, 15(Esp. 4), 1–6. Retrieved from https://rdcsa.emnuvens.com.br/revista/article/view/1135

Issue

Vol. 15 No. Esp. 4 (2026): REVISA- Congresso Interdisciplinar da Área Médica

Section

Literature Review

License

Copyright (c) 2026 Revista de Divulgação Científica Sena Aires

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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