Evidence map›Paper›PMID 35072742›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2022

[Technical innovations and future perspectives].

M Wagner, A Schulze, S Bodenstedt, L Maier-Hein, S Speidel, F Nickel, F Berlth, B P Müller-Stich, Peter Grimminger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen, 2022. 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

9 authors.

M WagnerKlinik für Allgemein-, Viszeral- und Transplantationschirurgie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland.
A SchulzeKlinik für Allgemein-, Viszeral- und Transplantationschirurgie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland.
S BodenstedtAbteilung für Translationale Chirurgische Onkologie, Nationales Centrum für Tumorerkrankungen Dresden (NCT/UCC), Fetscherstr. 74, 01307, Dresden, Deutschland.
L Maier-HeinAbteilung für computer-assistierte medizinische Interventionen, Deutsches Krebsforschungszentrum Heidelberg, Im Neuenheimer Feld 223, 69120, Heidelberg, Deutschland.
S SpeidelAbteilung für Translationale Chirurgische Onkologie, Nationales Centrum für Tumorerkrankungen Dresden (NCT/UCC), Fetscherstr. 74, 01307, Dresden, Deutschland.
F NickelKlinik für Allgemein-, Viszeral- und Transplantationschirurgie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland.
F Berlth
B P Müller-StichKlinik für Allgemein-, Viszeral- und Transplantationschirurgie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland.
Peter GrimmingerMagen- und Speiseröhrenchirurgie, onkologische Chirurgie, minimalinvasive Chirurgie und Robotik, Klinik für Allgemein‑, Viszeral-, und Transplantationschirurgie, Universitätsmedizin, Johannes-Gutenberg-Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland. peter.grimminger@unimedizin-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital systems have increasingly become integrated into the modern operating room in the last few decades. This has brought about a massive change, especially in minimally invasive surgery.

objectiveThe article provides an overview of the current technical innovations and the perspectives of digitalization and artificial intelligence (AI) in surgery. MATERIAL AND

methodsThe article is based on a literature search via PubMed and research work by the participating coauthors.

resultsCurrent research is increasingly looking at machine learning techniques that take advantage of the complex data in surgery; however, the integration of artificial intelligence systems into the operating room and clinical practice has only just begun. DISCUSSION: Translational research of artificial intelligence in surgery is still in its infancy but has great potential to improve patient care; however, to accelerate the incorporation of intelligent systems into the clinical practice, the creation of interdisciplinary research groups led by surgeons is necessary.

Indexed as

Artificial IntelligenceSurgeonsForecastingHumansOperating RoomsAdvanced imagingArtificial intelligenceDecision supportDigitalizationRobotics

Identifiers

PMID35072742

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.