Evidence map›Paper›PMID 36662104›Full record

ArticleJournal of imaging2022

CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording.

Manuel Birlo, Philip J Eddie Edwards, Soojeong Yoo, Brian Dromey, Francisco Vasconcelos, Matthew J Clarkson, Danail Stoyanov

Open access · goldAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 8 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

7 authors at 1 institution in 1 country.

Manuel BirloWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Charles Bell House, 43-45 Foley Street, London W1W 7TY, UK.
Philip J Eddie EdwardsWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Charles Bell House, 43-45 Foley Street, London W1W 7TY, UK.ORCID 0000-0003-0203-5736
Soojeong YooWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Charles Bell House, 43-45 Foley Street, London W1W 7TY, UK.ORCID 0000-0003-3681-6784
Brian DromeyWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Charles Bell House, 43-45 Foley Street, London W1W 7TY, UK.ORCID 0000-0001-9494-9724
Francisco VasconcelosWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Charles Bell House, 43-45 Foley Street, London W1W 7TY, UK.
Matthew J ClarksonWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Charles Bell House, 43-45 Foley Street, London W1W 7TY, UK.
Danail StoyanovWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Charles Bell House, 43-45 Foley Street, London W1W 7TY, UK.
Wellcome / EPSRC Centre for Interventional and Surgical Sciences · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Obstetric ultrasound (US) training teaches the relationship between foetal anatomy and the viewed US slice to enable navigation to standardised anatomical planes (head, abdomen and femur) where diagnostic measurements are taken. This process is difficult to learn, and results in considerable inter-operator variability. We propose the CAL-Tutor system for US training based on a US scanner and phantom, where a model of both the baby and the US slice are displayed to the trainee in its physical location using the HoloLens 2. The intention is that AR guidance will shorten the learning curve for US trainees and improve spatial awareness. In addition to the AR guidance, we also record many data streams to assess user motion and the learning process. The HoloLens 2 provides eye gaze, head and hand position, ARToolkit and NDI Aurora tracking gives the US probe positions and an external camera records the overall scene. These data can provide a rich source for further analysis, such as distinguishing expert from novice motion. We have demonstrated the system in a sample of engineers. Feedback suggests that the system helps novice users navigate the US probe to the standard plane. The data capture is successful and initial data visualisations show that meaningful information about user behaviour can be captured. Initial feedback is encouraging and shows improved user assessment where AR guidance is provided.

Indexed as

augmented realityHoloLens 2ultrasound training

Identifiers

PMID36662104
PMCPMC9860994
OpenAlexW4313327463

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.