Evidence map›Paper›PMID 32060576›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2020

[Artificial intelligence in vascular surgery and vascular medicine].

S Wolk, M Kleemann, C Reeps

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

S WolkGefäß- und Endovaskuläre Chirurgie, Klinik und Poliklinik für Visceral‑, Thorax- und Gefäßchirurgie, Universitätsklinikum Carl Gustav Carus Dresden, TU Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland.
M KleemannGefäß- und Endovaskuläre Chirurgie, Klinik für Chirurgie, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Deutschland.
C ReepsGefäß- und Endovaskuläre Chirurgie, Klinik und Poliklinik für Visceral‑, Thorax- und Gefäßchirurgie, Universitätsklinikum Carl Gustav Carus Dresden, TU Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland. Christian.Reeps@uniklinikum-dresden.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New digital technologies will also gain in importance in vascular surgery. There is a wide field of potential applications. Simulation-based training of endovascular procedures can lead to improvement in procedure-specific parameters and reduce fluoroscopy and procedural times. The use of intraoperative image-guided navigation and robotics also enables a reduction of the radiation dose. Artificial intelligence can be used for risk stratification and individualization of treatment approaches. Health apps can be used to improve the follow-up care of patients.

Indexed as

Endovascular ProceduresRoboticsSpecialties, SurgicalSurgery, Computer-AssistedArtificial IntelligenceFluoroscopyHumansDigital healthDigital transformationMachine learningNavigation in vascular surgeryVirtual reality

Identifiers

PMID32060576

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.