Evidence map›Paper›PMID 31650203›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2020

[Artificial intelligence in plastic surgery : Current developments and perspectives].

N Moellhoff, R E Giunta

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

2 authors.

N MoellhoffAbteilung für Hand-, Plastische und Ästhetische Chirurgie, Klinikum der Universität München, LMU München, Pettenkoferstr. 8a, 80336, München, Deutschland.
R E GiuntaAbteilung für Hand-, Plastische und Ästhetische Chirurgie, Klinikum der Universität München, LMU München, Pettenkoferstr. 8a, 80336, München, Deutschland. r.giunta@med.uni-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) has long been established in various parts of everyday life due to the instrumentalization of machines and robotics in industry, autonomous vehicles and the rapid development of computer-based systems.

objectiveDemonstration of current developments and perspectives of AI in plastic surgery. MATERIAL AND

methodsEvaluation of statistics, press releases and original articles from journals and discussion of reviews.

resultsIn the healthcare system and in plastic surgery AI is particularly useful in the context of data analysis from digital patient files and big data from central registers. The use of 3D imaging systems provides objective feedback on surgical results in terms of volume and aesthetics. Intelligent robots assist plastic surgeons in microsurgical anastomoses of increasingly smaller vessels and the implementation of AI in the field of prosthetics enables patients to regain hand function following amputation injuries.

conclusionFor the benefit of the patients, it is the responsibility of experimental surgery to explore the opportunities, risks and limitations of applications with AI.

Indexed as

RoboticsSurgeonsSurgery, PlasticArtificial IntelligenceHumans3D imagingImplant registerMachine learningMicrosurgeryRobotics

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.