Evidence map›Paper›PMID 39228175›Full record

ArticleAnnals of hepato-biliary-pancreatic surgery2025

The role of artificial intelligence in pancreatic surgery: Current and future perspectives.

Alvaro Ducas, Alberto Mangano, Leonardo Borgioli, Jessica Cassiani, Paula Lopez, Pier Cristoforo Giulianotti

Abstract readEditorial
In one paragraph

Article in Annals of hepato-biliary-pancreatic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Alvaro DucasDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-3789-0986
Alberto ManganoDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-4671-6453
Leonardo BorgioliDepartment of Electrical and Computer Engineering, College of Engineering, University of Illinois at Chicago, Chicago, IL, United States.ORCID https://orcid.org/0009-0004-8653-8158
Jessica CassianiDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-8502-572X
Paula LopezDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-0674-6669
Pier Cristoforo GiulianottiDivision of General, Minimally Invasive and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-3195-9735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39228175
PMCPMC11830889

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.