Evidence map›Paper›PMID 41479699›Full record

ReviewWorld journal of gastrointestinal surgery2025

Innovations and trends in hepatobiliary surgery education: Embracing technological advancements for enhanced surgical training.

Yu Wang, Lei Li, Yan Jiao

Abstract readReview
In one paragraph

Review in World journal of gastrointestinal surgery, 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

3 authors.

Yu WangDepartment of The First Operation Room, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
Lei LiDepartment of The First Operation Room, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
Yan JiaoDepartment of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China. lagelangri1@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The landscape of hepatobiliary surgical education has undergone a significant transformation with the integration of advanced technologies such as three-dimensional modeling, virtual reality, augmented reality, and artificial intelligence. This review synthesizes recent advancements in surgical education, examining the role of these technologies in improving anatomical understanding, surgical skill acquisition, and overall trainee engagement. Evidence from randomized controlled trials, systematic reviews, and cohort studies shows that immersive training tools, including virtual reality, augmented reality, and haptic feedback, outperform traditional apprenticeship methods in fostering cognitive and psychomotor skills. Artificial intelligence applications provide real-time feedback, further enhancing learning efficiency. However, these technologies should complement, rather than replace, traditional hands-on training. Some challenges remain to be addressed, such as high costs, infrastructure requirements, and limited long-term validation of these technologies. The review concludes that while these innovations offer promising educational benefits, further research is needed to standardize their application and evaluate their long-term impact on surgical outcomes.

Indexed as

Artificial intelligenceAugmented realityHaptic feedbackHepatobiliary surgery educationImmersive learningSurgical trainingTechnology integrationThree-dimensional modelingVirtual reality

Identifiers

PMID41479699
PMCPMC12754304

What OpenQuestion holds

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LicenceCC BY-NC
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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.