Evidence map›Paper›PMID 41487718›Full record

ArticleCureus2025

The Role of Advanced Technologies and Artificial Intelligence (AI) in Surgical Training: A Consensus Report.

S Vincent Grasso, Gaya Spolverato, Giulia Capelli, Daunia Verdi, Niki Rashidian, Tomilola Olakunde, Karol Rawicz Pruszynski, Isabella Frigerio, Roland Croner, Stephane Romano and 2 more

Abstract read
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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

S Vincent GrassoDepartment of Medical Education and Scholarship, Rowan-Virtua School of Osteopathic Medicine, Stratford, USA.
Gaya SpolveratoDepartment of Surgical, Oncological, and Gastroenterological Sciences, University of Padova, Padova, ITA.
Giulia CapelliDepartment of Surgery, ASST Bergamo EST, Bergamo, ITA.
Daunia VerdiDepartment of Surgery, Mirano Hospital, Mirano, ITA.
Niki RashidianDepartment of Hepatobiliary Surgery and Liver Transplantation, Ghent University Hospital, Ghent, BEL.
Tomilola OlakundeInternal Medicine, Center for Translation and Implementation Research, Nsukka, NGA.
Karol Rawicz PruszynskiDepartment of Surgical Oncology, Medical University of Lublin, Lublin, POL.
Isabella FrigerioDepartment of Surgery, HPB Unit, Pederzoli Hospital, Peschiera del Garda, ITA.
Roland CronerDepartment of General, Visceral, Vascular, and Transplantation Surgery, University of Magdeburg, Magdeburg, DEU.
Stephane RomanoDepartment of Orthopedic Surgery and Traumatology, American Hospital of Paris, Neuilly, FRA.
Elie ChouillardDepartment of Surgery, American Hospital of Paris, Neuilly, FRA.
Andrew A GumbsMinimally Invasive Digestive Surgery Service, Hôpital Antoine Béclère-Assistance Publique Hopitaux de Paris, Clamart, FRA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This white paper presents the consensus opinions of the Artificial Intelligence Surgery (AIS) Editorial Board and its Task Force on Surgical Training regarding the integration and role of advanced technologies and artificial intelligence (AI) in surgical education. Derived from a structured modified Delphi process involving comprehensive video conference discussions and a 25-item questionnaire, the paper explores five critical topics: 1) Telemedicine, Telementoring, Telepresence, and Remote Surgery (Telesurgery); 2) The Role of Simulation in Surgical Education; 3) Technology's Role in Training Surgeons in Low- and Middle-Income Countries (LMICs); 4) Technology's Role in Training Disabled Surgeons; and 5) Ethical Aspects of AI-Based Surgical Training. The consensus process, conducted with 23 international experts, achieved ≥80% agreement on 13 of 25 statements. These consensus principles affirm the essential role of advanced technologies - including AI, simulation, and telementoring - in addressing the global surgical burden and guiding future developments for a more inclusive surgical workforce.

Indexed as

artificial intelligenceconsensushealthcare technologymedical simulationsurgical educationsurgical trainingtelemedicinetelesurgery

Identifiers

PMID41487718
PMCPMC12758081

What OpenQuestion 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 OpenQuestion graph.