Evidence map›Paper›PMID 37368540›Full record

ReviewTomography (Ann Arbor, Mich.)2023

Extended Reality in Diagnostic Imaging-A Literature Review.

Paulina Kukla, Karolina Maciejewska, Iga Strojna, Małgorzata Zapał, Grzegorz Zwierzchowski, Bartosz Bąk

Open access · goldAbstract readReview
In one paragraph

Review in Tomography (Ann Arbor, Mich.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 1 institution in 1 country.

Paulina KuklaDepartment of Electroradiology, Poznan University of Medical Sciences, 61-866 Poznan, Poland.ORCID 0000-0002-5825-2193
Karolina MaciejewskaDepartment of Electroradiology, Poznan University of Medical Sciences, 61-866 Poznan, Poland.
Iga StrojnaDepartment of Electroradiology, Poznan University of Medical Sciences, 61-866 Poznan, Poland.
Małgorzata ZapałDepartment of Electroradiology, Poznan University of Medical Sciences, 61-866 Poznan, Poland.
Grzegorz ZwierzchowskiDepartment of Electroradiology, Poznan University of Medical Sciences, 61-866 Poznan, Poland.
Bartosz BąkDepartment of Electroradiology, Poznan University of Medical Sciences, 61-866 Poznan, Poland.ORCID 0000-0003-4567-4917
Poznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of extended reality (ER) has been increasingly explored in the medical field over the past ten years. A comprehensive analysis of scientific publications was conducted to assess the applications of ER in the field of diagnostic imaging, including ultrasound, interventional radiology, and computed tomography. The study also evaluated the use of ER in patient positioning and medical education. Additionally, we explored the potential of ER as a replacement for anesthesia and sedation during examinations. The use of ER technologies in medical education has received increased attention in recent years. This technology allows for a more interactive and engaging educational experience, particularly in anatomy and patient positioning, although the question may be asked: is the technology and maintenance cost worth the investment? The results of the analyzed studies suggest that implementing augmented reality in clinical practice is a positive phenomenon that expands the diagnostic capabilities of imaging studies, education, and positioning. The results suggest that ER has significant potential to improve diagnostic imaging procedures' accuracy and efficiency and enhance the patient experience through increased visualization and understanding of medical conditions. Despite these promising advancements, further research is needed to fully realize the potential of ER in the medical field and to address the challenges and limitations associated with its integration into clinical practice.

Indexed as

Augmented RealityHumansTomography, X-Ray Computeddiagnostic imagingextended realityradiologyvirtual reality

Identifiers

PMID37368540
PMCPMC10303875
OpenAlexW4378233954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.