Evidence map›Paper›PMID 35144645›Full record

ArticleWorld journal of emergency surgery : WJES2022

Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey.

Belinda De Simone, Fikri M Abu-Zidan, Andrew A Gumbs, Elie Chouillard, Salomone Di Saverio, Massimo Sartelli, Federico Coccolini, Luca Ansaloni, Toby Collins, Yoram Kluger and 10 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in World journal of emergency surgery : WJES, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07149012 (Artificial Intelligence for Surgical Care in War-Torn Sudan), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% of its field
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.

NCT07149012 completednot on this mapstarted 2024, after this paper: background citation

Artificial Intelligence for Surgical Care in War-Torn Sudan: Feasibility, Barriers, and Ethical Perspectives From a Conflict Zone

TypeobservationalSponsorSudan Medical Specialization BoardRan2024 to 2025Enrolled185ConditionsSurgical Procedures, Operative, Artificial Intelligence (AI), War Injury, Wounds and InjuriesArmsArtificial Intelligence Awareness and Feasibility Assessment
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. AI applications in disaster governance with health approach: A scoping review.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Perception and challenges of artificial intelligence (AI) in Emergency Medicine: A multi-country study in Sub-Saharan Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
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  13. Enhanced Trauma Video Review With Computer Vision: Trauma Resuscitation Phase Segmentation and Procedure Detection.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Article
  14. Artificial Intelligence in Orthopaedic and Trauma Surgery Education: Applications, Ethics, and Future Perspectives.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    Review
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  16. German surgeons' perspective on the application of artificial intelligence in clinical decision-making.International journal of computer assisted radiology and surgery · 2025
    Article
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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

20 authors at 16 institutions in 8 countries.

Belinda De SimoneDepartment of Emergency and Metabolic Minimally Invasive Surgery, Centre Hospitalier Intercommunal de Poissy/Saint Germain en Laye, 10 Rue de Champ Gaillard, Poissy Cedex, France. desimone.belinda@gmail.com.
Fikri M Abu-ZidanDepartment of Surgery, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates.
Andrew A GumbsDepartment of Emergency and Metabolic Minimally Invasive Surgery, Centre Hospitalier Intercommunal de Poissy/Saint Germain en Laye, 10 Rue de Champ Gaillard, Poissy Cedex, France.
Elie ChouillardDepartment of Emergency and Metabolic Minimally Invasive Surgery, Centre Hospitalier Intercommunal de Poissy/Saint Germain en Laye, 10 Rue de Champ Gaillard, Poissy Cedex, France.
Salomone Di SaverioDepartment of General Surgery, Ospedale Civile "Madonna del Soccorso", San Benedetto del Tronto, AP, Italy.
Massimo SartelliDepartment of General Surgery, Macerata Hospital, Macerata, Italy.
Federico CoccoliniDepartment of Surgery, Pisa University Hospital, Pisa, Italy.
Luca AnsaloniDepartment of General Surgery, University Hospital of Pavia, Pavia, Italy.
Toby CollinsIRCAD, Strasbourg, France.
Yoram KlugerDepartment of Emergency and Trauma Surgery, Rambam Health Campus, Haifa, Israel.
Ernest E MooreDepartment of Surgery, School of Medicine and the Ernest E. Moore Shock Trauma Center at Denver Health, University of Colorado, Denver, CO, USA.
Andrej LitvinAbdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Ari LeppaniemiDepartment of Surgical Disciplines, Immanuel Kant Baltic Federal University, Regional Clinical Hospital, Kaliningrad, Russia.
Pietro MascagniFondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Luca MiloneDepartment of General and Robotic Surgery, The Brooklyn Hospital Center, New York, USA.
Micaela PiccoliDivision of General, Emergency Surgery and New Technologies, Ospedale Civile Di Baggiovara, Azienda Ospedaliero - Universitaria Di Modena, Modena, Italy.
Mohamed Abu-HilalHepato-Bilio-Pancreatic Minimally Invasive Surgery, Poliambulanza Foundation Hospital, Brescia, Italy.
Michael SugrueDepartment of Surgery, Letterkenny University Hospital Ireland, Letterkenny, Ireland.
Walter L BifflDepartment of Trauma and Acute Care Surgery, Scripps Memorial Hospital, La Jolla, CA, USA.
Fausto CatenaDepartment of Emergency and Trauma Surgery, Bufalini Hospital, Cesena, Italy.
Centre Hospitalier Intercommunal de Poissy · FRAzienda Ospedaliera Universitaria Pisana · ITBrooklyn Hospital Center · USFondazione Poliambulanza Istituto Ospedaliero · ITHelsinki University Hospital · FIImmanuel Kant Baltic Federal University · RUInstitut de Recherche contre les Cancers de l’Appareil Digestif · FRIstituti di Ricovero e Cura a Carattere Scientifico · ITLetterkenny University Hospital · IEOspedale di MacerataOspedale “M. Bufalini” di Cesena · ITRambam Health Care Campus · ILScripps Memorial Hospital · USUnited Arab Emirates University · AEUniversity of Colorado Denver · USUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe aimed to evaluate the knowledge, attitude, and practices in the application of AI in the emergency setting among international acute care and emergency surgeons.

methodsAn online questionnaire composed of 30 multiple choice and open-ended questions was sent to the members of the World Society of Emergency Surgery between 29th May and 28th August 2021. The questionnaire was developed by a panel of 11 international experts and approved by the WSES steering committee.

results200 participants answered the survey, 32 were females (16%). 172 (86%) surgeons thought that AI will improve acute care surgery. Fifty surgeons (25%) were trained, robotic surgeons and can perform it. Only 19 (9.5%) were currently performing it. 126 (63%) surgeons do not have a robotic system in their institution, and for those who have it, it was mainly used for elective surgery. Only 100 surgeons (50%) were able to define different AI terminology. Participants thought that AI is useful to support training and education (61.5%), perioperative decision making (59.5%), and surgical vision (53%) in emergency surgery. There was no statistically significant difference between males and females in ability, interest in training or expectations of AI (p values 0.91, 0.82, and 0.28, respectively, Mann-Whitney U test). Ability was significantly correlated with interest and expectations (p < 0.0001 Pearson rank correlation, rho 0.42 and 0.47, respectively) but not with experience (p = 0.9, rho - 0.01).

conclusionsThe implementation of artificial intelligence in the emergency and trauma setting is still in an early phase. The support of emergency and trauma surgeons is essential for the progress of AI in their setting which can be augmented by proper research and training programs in this area.

Indexed as

Artificial IntelligenceSurgeonsFemaleHealth Knowledge, Attitudes, PracticeHumansInternetMaleSurveys and QuestionnairesArtificial intelligenceDecision makingEmergency surgeryLaparoscopyResearchRobotic surgerySurveyTrauma surgery

Identifiers

PMID35144645
PMCPMC8832812
OpenAlexW4226027952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.