Evidence map›Paper›PMID 31919544›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2020

[Artificial intelligence in orthopedics and trauma surgery].

T Tjardes, R A Heller, D Pförringer, R Lohmann, David A Back, AG Digitalisierung der DGOU

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

6 authors.

T TjardesKlinik für Unfallchirurgie, Orthopädie und Sporttraumatologie Köln-Merheim, Kliniken der Stadt Köln gGmbH, Köln, Deutschland.
R A HellerZentrum für Orthopädie, Unfallchirurgie und Paraplegiologie, Universitätsklinik Heidelberg, Heidelberg, Deutschland.
D PförringerKlinik für Unfallchirurgie, Klinikum Rechts der Isar, Technische Universität München, München, Deutschland.
R LohmannLohmann & Birkner Software Solutions GmbH, Berlin, Deutschland.
David A BackKlinik für Unfallchirurgie und Orthopädie, Septische und Rekonstruktive Chirurgie, Bundeswehrkrankenhaus Berlin, Scharnhorststr. 13, 10115, Berlin, Deutschland. david.alexander.back@gmail.com.
AG Digitalisierung der DGOU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is a very relevant topic for the medicine of the future. This article focuses on the field of AI in the context of orthopedics and trauma surgery. The main focus is on the potentials of AI in the analysis of symptoms, radiological images, clinical data sets, use in hospitals and operating theaters as well as for training and education. For the orthopedics and trauma surgery of the future AI is much more than pure fiction; however, there is still a long way to go before the potential of an optimized and individualized patient care can be utilized. Interdisciplinary and international approaches, including personnel, economic, legal and ethical aspects will play a decisive role in this respect.

Indexed as

Orthopedic ProceduresOrthopedicsArtificial IntelligenceHumansOperating RoomsAlgorithm-based analysisBig DataLegal framework conditionsProfessional educationRobotics in the operating theater

Identifiers

PMID31919544

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.