Evidence map›Paper›PMID 36354878›Full record

ArticleJournal of imaging2022

Towards a Low-Cost Monitor-Based Augmented Reality Training Platform for At-Home Ultrasound Skill Development.

Marine Y Shao, Tamara Vagg, Matthias Seibold, Mitchell Doughty

Abstract read
In one paragraph

Article in Journal of imaging, 2022. 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. Innovations in ultrasound training in obstetrics.Archives of gynecology and obstetrics · 2025
    Review
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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

4 authors.

Marine Y ShaoCentre For Print Research, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK.ORCID 0000-0001-8213-6486
Tamara VaggCork Centre for Cystic Fibrosis (3CF), Cork University Hospital & HRB Clinical Research Facility Cork, University College Cork & School of Computer Science and Information Technology, University College Cork, T12 XF62 Cork, Ireland.
Matthias SeiboldComputer Aided Medical Procedures (CAMP), Technical University of Munich, 85748 Munich, Germany.ORCID 0000-0002-9960-3244
Mitchell DoughtyDepartment of Medical Biophysics, University of Toronto, Toronto, ON M5S 1A1, Canada.ORCID 0000-0001-7617-307X

Funding

Horizon 2020 programme of the European Union Grant number 814158 "Appearance Printing - European Advanced Research School" (ApPEARS)
6 · The paper itself

Abstract

Ultrasound education traditionally involves theoretical and practical training on patients or on simulators; however, difficulty accessing training equipment during the COVID-19 pandemic has highlighted the need for home-based training systems. Due to the prohibitive cost of ultrasound probes, few medical students have access to the equipment required for at home training. Our proof of concept study focused on the development and assessment of the technical feasibility and training performance of an at-home training solution to teach the basics of interpreting and generating ultrasound data. The training solution relies on monitor-based augmented reality for displaying virtual content and requires only a marker printed on paper and a computer with webcam. With input webcam video, we performed body pose estimation to track the student's limbs and used surface tracking of printed fiducials to track the position of a simulated ultrasound probe. The novelty of our work is in its combination of printed markers with marker-free body pose tracking. In a small user study, four ultrasound lecturers evaluated the training quality with a questionnaire and indicated the potential of our system. The strength of our method is that it allows students to learn the manipulation of an ultrasound probe through the simulated probe combined with the tracking system and to learn how to read ultrasounds in B-mode and Doppler mode.

Indexed as

augmented realitycross-sectional anatomymedical ultrasoundultrasound education

Identifiers

PMID36354878
PMCPMC9698513

What OpenQuestion holds

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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.