Evidence map›Paper›PMID 31654102›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2020

[Artificial intelligence in pediatric surgery : Present and future].

Jan Gödeke, Oliver Muensterer, S Rohleder

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen, 2020. 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.

Jan GödekeKlinik und Poliklinik für Kinderchirurgie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland. jan.goedeke@unimedizin-mainz.de.
Oliver MuenstererKlinik und Poliklinik für Kinderchirurgie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
S RohlederKlinik und Poliklinik für Kinderchirurgie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence, automatization and digital transformation increasingly dominate the business models of almost all enterprises. Even in medicine and medical technology, companies also no longer close their minds to this development as the advantages provided by the new ideas and processes in medicine and particularly in compact disciplines, such as pediatric surgery have occasionally been recognized.

objectiveThis article gives a status quo analysis of artificial intelligence in international pediatric surgery with a discussion of future perspectives and suggestions from the authors' perspective. MATERIAL AND

methodsAppraisal and discussion of international publications, external expert opinions and personal experiences of the authors.

resultsA wide spectrum of applications using artificial intelligence in surgery is internationally available. Many of these developments can also be further adapted for use in pediatric surgery. The experience using artificial intelligence for special pediatric surgical indications is currently limited to isolated cases.

conclusionDisciplines such as pediatric surgery cannot disregard the trend towards the application of artificial intelligence in daily practice. In addition to the establishment of current developments, the requirements of pediatric surgery should also be taken into account. These were some of the impulses that led to the founding of the working group on digitalization of the German Association for Pediatric Surgery in September 2019.

Indexed as

Artificial IntelligenceChildForecastingHumansDigitalizationImage recognitionMachine learningSpeech recognitionTelemedicine

Identifiers

What OpenQuestion holds

Textmetadata
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.