Evidence map›Paper›PMID 41822729›Full record

ReviewFrontiers in gastroenterology (Lausanne, Switzerland)2024

Augmented reality navigation systems in endoscopy.

Rebecca Metzger, Per Suppa, Zhen Li, Anant Vemuri

Abstract readReview
In one paragraph

Review in Frontiers in gastroenterology (Lausanne, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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.

Rebecca MetzgerDigital Unit, Olympus Europa SE & CO. KG, Hamburg, Germany.
Per SuppaTechnology Innovation, Olympus Surgical Technologies Europe, Hamburg, Germany.
Zhen LiAdvanced Technology Research, Olympus Corporation, Tokyo, Japan.
Anant VemuriDigital Unit, Olympus Europa SE & CO. KG, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Navigation assistance has become part of our daily lives and its implementation in medicine has been going on for the last 3 decades. Navigation is defined as the determination of a position in space in the context of its surroundings. While routing applications used in cars highlight the street to follow, in medical applications the real-world perception of the user is enriched by digital elements that provide guidance and help the user navigate. Unlike Virtual Reality (VR) solutions, which are mainly used for training, Augmented Reality systems (AR) do not require the user to wear specific headsets/goggles, but the virtual elements are overlaid over the real image displayed on a monitor. Depending on the application and the indication, there are large differences in how much these solutions have entered clinical routine. Especially in the fields of GI endoscopy and laparoscopy, AR navigation solutions are less prominently employed in clinical practice today and still hold significant potential to elevate patient care by improved physician support. This review touches upon why AR navigation systems are currently just starting to become implemented in the GI/laparoscopic clinical routine and which applications can be expected in the GI endoscopy and laparoscopy field. By taking the practitioner's perspective and following the intuitive navigation workflow, it gives an overview of major available and potential future AR-applications in the GI endoscopy and laparoscopy space, the respective underlying technologies, their maturity level and their potential to change clinical practice.

Indexed as

artificial intelligenceaugmented realitycomputer aided detection (CADe)digital healthendoscopygastroenterologylaparoscopy

Identifiers

PMID41822729
PMCPMC12952381

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.