Evidence map›Paper›PMID 30298333›Full record

ArticleDer Orthopade2018

[Digitalization and artificial intelligence in orthopedics and traumatology].

K Harren, F Dittrich, F Reinecke, M Jäger

Abstract read
PubMed Publisher
In one paragraph

Article in Der Orthopade, 2018. 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. Article
  2. Article
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

4 authors.

K HarrenKlinik für Orthopädie und Unfallchirurgie, Universität Duisburg-Essen/Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland. Anna-Katharina.Harren@uk-essen.de.
F DittrichKlinik für Orthopädie und Unfallchirurgie, Universität Duisburg-Essen/Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland.
F ReineckeKlinik für Orthopädie und Unfallchirurgie, Universität Duisburg-Essen/Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland.
M JägerKlinik für Orthopädie und Unfallchirurgie, Universität Duisburg-Essen/Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the course of digitalization it is becoming increasingly rare for medical documents to be handwritten. As a result, digitalization has already become an integral part of routine patient care but in contrast to other specialist disciplines, such as radiology or laboratory medicine, orthopedics and trauma surgery are still at the beginning of new technologies. Artificial intelligence is not only used in the form of surgical robots in joint surgery or in the design of individualized implants but also provides valuable decision-making aids through appropriate algorithms for diagnosis and treatment. It can be assumed that these technologies will be further developed and used increasingly more in the coming years. Typical examples are intuitively operable and autonomously working programs and systems that support the networking and work of medical personnel and make processes inside and outside inpatient care more precise and less vulnerable to disturbances.

Indexed as

Artificial IntelligenceOrthopedic ProceduresOrthopedicsTraumatologyAlgorithmsHumans3D printingeHealthMobile AppsRoboticsSoftware

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.