Evidence map›Paper›PMID 31919545›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2020

[Application of artificial intelligence in thoracic surgery].

D Herrmann, M Oggiano, E Hecker

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

D HerrmannThoraxzentrum Ruhrgebiet, Klinik für Thoraxchirurgie, Evangelisches Krankenhaus, Herne, Hordeler Straße 7-9, 44651, Herne, Deutschland.
M OggianoThoraxzentrum Ruhrgebiet, Klinik für Thoraxchirurgie, Evangelisches Krankenhaus, Herne, Hordeler Straße 7-9, 44651, Herne, Deutschland.
E HeckerThoraxzentrum Ruhrgebiet, Klinik für Thoraxchirurgie, Evangelisches Krankenhaus, Herne, Hordeler Straße 7-9, 44651, Herne, Deutschland. e.hecker@evk-herne.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe application of artificial intelligence is a relatively new option to enable improved patient treatment in modern medicine and is therefore currently the focus of many research projects. In the clinical practice the application of artificial intelligence so far seems to be confined to the analysis of medical imaging.

objectiveIn which form is the use of artificial intelligence possible in routine daily work in thoracic surgery and is already being practiced? MATERIAL AND

methodsA search of the currently available literature was performed.

resultsUnder current conditions artificial intelligence can best be used as part of diagnostics and treatment planning; however, in order to enable a comprehensive use standardization and evaluation of the centralized data collection are necessary.

conclusionAt the present time promising study results are available but the implementation into the surgical routine has so far been very difficult.

Indexed as

Artificial IntelligenceThoracic SurgeryHumansMachine LearningArtificial neural networkComputer-aided diagnosticsDeep learningMachine learningNon-small cell lung cancer

Identifiers

PMID31919545

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.