Evidence map›Paper›PMID 40100424›Full record

SynthesisLangenbeck's archives of surgery2025

Systematic review on the use of artificial intelligence to identify anatomical structures during laparoscopic cholecystectomy: a tool towards the future.

Diletta Corallino, Andrea Balla, Diego Coletta, Daniela Pacella, Mauro Podda, Annamaria Pronio, Monica Ortenzi, Francesca Ratti, Salvador Morales-Conde, Pierpaolo Sileri and 1 more

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Langenbeck's archives of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Bile Duct Injury and Litigation in Laparoscopic Cholecystectomy: A Global Review of Current and Future Preventative Initiatives.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Diletta CorallinoHepatobiliary Surgery Division, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy. diletta.corallino1989@gmail.com.ORCID http://orcid.org/0000-0002-4937-4332
Andrea BallaDepartment of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Seville, Spain.ORCID http://orcid.org/0000-0002-0182-8761
Diego ColettaGeneral and Hepatopancreatobiliary Surgery, IRCCS Regina Elena National Cancer Institute, Rome, Italy.ORCID http://orcid.org/0000-0002-9116-0733
Daniela PacellaDepartment of Public Health, University of Naples Federico II, Naples, Italy.ORCID http://orcid.org/0000-0003-2343-5069
Mauro PoddaDepartment of Surgical Science, University of Cagliari, Cagliari, Italy.ORCID http://orcid.org/0000-0001-9941-0883
Annamaria PronioDepartment of General Surgery and Surgical Specialties, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Monica OrtenziDepartment of General and Emergency Surgery, Polytechnic University of Marche, Ancona, Italy.ORCID http://orcid.org/0000-0002-6508-6488
Francesca RattiHepatobiliary Surgery Division, IRCCS San Raffaele Scientific Institute, Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 60, 20132, Milan, Italy.
Salvador Morales-CondeDepartment of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Seville, Spain.ORCID http://orcid.org/0000-0003-2833-0717
Pierpaolo SileriColoproctology and Inflammatory Bowel Disease Surgery Unit, IRCCS San Raffaele Scientific Institute, Faculty of Medicine and Surgery, Vita-Salute University, Via Olgettina 60, 20132, Milan, Italy.ORCID http://orcid.org/0000-0002-1104-6237
Luca AldrighettiHepatobiliary Surgery Division, IRCCS San Raffaele Scientific Institute, Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 60, 20132, Milan, Italy.ORCID http://orcid.org/0000-0001-7729-2468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBile duct injury (BDI) during laparoscopic cholecystectomy (LC) is a dreaded complication. Artificial intelligence (AI) has recently been introduced in surgery. This systematic review aims to investigate whether AI can guide surgeons in identifying anatomical structures to facilitate safer dissection during LC.

methodsFollowing PROSPERO registration CRD-42023478754, a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-compliant systematic search of MEDLINE (via PubMed), EMBASE, and Web of Science databases was conducted.

resultsOut of 2304 articles identified, twenty-five were included in the analysis. The mean average precision for biliary structures detection reported in the included studies reaches 98%. The mean intersection over union ranges from 0.5 to 0.7, and the mean Dice/F1 spatial correlation index was greater than 0.7/1. AI system provided a change in the annotations in 27% of the cases, and 70% of these shifts were considered safer changes. The contribution to preventing BDI was reported at 3.65/4.

conclusionsAlthough studies on the use of AI during LC are few and very heterogeneous, AI has the potential to identify anatomical structures, thereby guiding surgeons towards safer LC procedures.

Indexed as

Artificial IntelligenceBile DuctsCholecystectomy, LaparoscopicIntraoperative ComplicationsHumansArtificial intelligenceBile duct injuriesLaparoscopic cholecystectomyMinimally invasive surgery

Identifiers

PMID40100424
PMCPMC11919950

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.