Evidence map›Paper›PMID 36276381›Full record

ArticleFrontiers in public health2022

The use and future perspective of Artificial Intelligence-A survey among German surgeons.

Mathieu Pecqueux, Carina Riediger, Marius Distler, Florian Oehme, Ulrich Bork, Fiona R Kolbinger, Oliver Schöffski, Peter van Wijngaarden, Jürgen Weitz, Johannes Schweipert and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. An Exploration of Machine Learning Methods in Human Biomonitoring.International journal of environmental research and public health · 2026
    Review
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  7. Article
  8. AUGUR-AIM: Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025
    Observational
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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

11 authors.

Mathieu PecqueuxDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Carina RiedigerDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Marius DistlerDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Florian OehmeDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Ulrich BorkDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Fiona R KolbingerDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Oliver SchöffskiChair of Health Management, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nürnberg, Germany.
Peter van WijngaardenCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia.
Jürgen WeitzDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Johannes SchweipertDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.
Christoph KahlertDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Clinical abundance of artificial intelligence has increased significantly in the last decade. This survey aims to provide an overview of the current state of knowledge and acceptance of AI applications among surgeons in Germany. Methods: A total of 357 surgeons from German university hospitals, academic teaching hospitals and private practices were contacted by e-mail and asked to participate in the anonymous survey. Results: A total of 147 physicians completed the survey. The majority of respondents ( Conclusion: German surgeons are in principle positively disposed toward AI applications. However, many surgeons see a deficit in their own knowledge and in the implementation of AI applications in their own professional environment. Accordingly, medical education programs targeting both medical students and healthcare professionals should convey basic knowledge about the development and clinical implementation process of AI applications in different medical fields, including surgery.

Indexed as

Students, MedicalSurgeonsArtificial IntelligenceGermanyHumansSurveys and Questionnairesacceptanceartificial intelligenceperspectivesurgerysurvey

Identifiers

PMID36276381
PMCPMC9580562

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.