Evidence map›Paper›PMID 38222401›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2023

Creating Augmented Reality Holograms for Polytrauma Patients Using 3D Slicer and Holomedicine Medical Image Platform.

Wei-Shao Sun, Chun-Chuan Sun, Lorenzo Porta, Ting-Kai Yang, Shih-Hao Su, Shih-Hung Liu, Tsung-Hsin Chou, Shyr-Chyr Chen, Joshua Ho, Chien-Chang Lee

Abstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Wei-Shao SunHealth Data Science Research Group, National Taiwan University Hospital, Taipei, Taiwan.
Chun-Chuan SunIoT Center of Excellence, Microsoft Taiwan, Taipei, Taiwan.
Lorenzo PortaDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Ting-Kai YangHealth Data Science Research Group, National Taiwan University Hospital, Taipei, Taiwan.
Shih-Hao SuHealth Data Science Research Group, National Taiwan University Hospital, Taipei, Taiwan.
Shih-Hung LiuDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Tsung-Hsin ChouDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Shyr-Chyr ChenDepartment of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Joshua HoThe Center for Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan.
Chien-Chang LeeHealth Data Science Research Group, National Taiwan University Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In traumatology physicians heavily rely on computed tomography (CT) 2D axial scans to identify and assess the patient's injuries after an accident. However, in some cases it can be difficult to rigorously evaluate the real extent of the damage considering only the bidimensional slices produced by the CT, and some life-threatening lesions can be missed. With the development of 3D holographic rendering and extended reality (XR) technology, CT images can be projected in a 3D format through head-mounted holographic displays, allowing multi-view from different angles and interactive slice intersections, thus increasing anatomical intelligibility. In this article, we explain how to import CT scans into holographic displays for 3D visualization and further compare the methodolgy with traditional bidimensional reading.

Indexed as

Augmented RealityHolographyMultiple TraumaHumansImaging, Three-DimensionalTomography, X-Ray Computed

Identifiers

PMID38222401
PMCPMC10785888

What OpenQuestion holds

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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.