Evidence map›Paper›PMID 36502261›Full record

ReviewSensors (Basel, Switzerland)2022

Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review.

Fikret Necati Catbas, Furkan Luleci, Mahta Zakaria, Ulas Bagci, Joseph J LaViola, Carolina Cruz-Neira, Dirk Reiners

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. 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

7 authors.

Fikret Necati CatbasCivil Infrastructure Technologies for Safety and Resilience (CITRS), Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-9255-9976
Furkan LuleciCivil Infrastructure Technologies for Safety and Resilience (CITRS), Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-5265-6771
Mahta ZakariaCivil Infrastructure Technologies for Safety and Resilience (CITRS), Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-8013-6036
Ulas BagciRadiology and Biomedical Engineering Department, Northwestern University, Chicago, IL 60611, USA.
Joseph J LaViolaInteractive Computing Experiences Research Cluster, Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA.
Carolina Cruz-NeiraDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.
Dirk ReinersDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.

Funding

Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic TumorsR01CA246704 · NCI · UNIVERSITY OF CENTRAL FLORIDA · PI BAGCI, ULAS · 2020 to 2024
$2.4M
Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and DiagnosisR01CA240639 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BAGCI, ULAS · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA240639
6 · The paper itself

Abstract

Condition assessment of civil engineering structures has been an active research area due to growing concerns over the safety of aged as well as new civil structures. Utilization of emerging immersive visualization technologies such as Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the architectural, engineering, and construction (AEC) industry has demonstrated that these visualization tools can be paradigm-shifting. Extended Reality (XR), an umbrella term for VR, AR, and MR technologies, has found many diverse use cases in the AEC industry. Despite this exciting trend, there is no review study on the usage of XR technologies for the condition assessment of civil structures. Thus, the present paper aims to fill this gap by presenting a literature review encompassing the utilization of XR technologies for the condition assessment of civil structures. This study aims to provide essential information and guidelines for practitioners and researchers on using XR technologies to maintain the integrity and safety of civil structures.

Indexed as

Augmented RealityVirtual RealityEngineeringTechnologyAECaugmented realityextended realitymixed realityNDENDTSHMstructural health monitoringvirtual reality

Identifiers

PMID36502261
PMCPMC9740048

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.