Evidence map›Paper›PMID 41902130›Full record

SynthesisSensors (Basel, Switzerland)2026

The Use of Augmented Reality for Navigation in Minimally Invasive Abdominal and Thoracic Soft-Tissue Surgery: A Systematic Review.

Inga Steinberga, Victor Gabriel El-Hajj, Laura Cercenelli, Mario Romero, Kenny A Rodriguez-Wallberg, Erik Edström, Adrian Elmi-Terander

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2026. 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. 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.

Inga SteinbergaLaboratory of Translational Fertility Preservation, Department of Oncology-Pathology, Karolinska Institute, 171 64 Stockholm, Sweden.ORCID 0009-0004-5120-1117
Victor Gabriel El-HajjDepartment of Clinical Neuroscience, Karolinska Institute, 171 65 Stockholm, Sweden.ORCID 0000-0001-9479-761X
Laura CercenelliLaboratory of Bioengineering-eDIMES Lab, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0001-7818-1356
Mario RomeroDepartment of Science and Technology, Linköping University, 601 74 Linköping, Sweden.ORCID 0000-0003-4616-189X
Kenny A Rodriguez-WallbergLaboratory of Translational Fertility Preservation, Department of Oncology-Pathology, Karolinska Institute, 171 64 Stockholm, Sweden.ORCID 0000-0003-4378-6181
Erik EdströmDepartment of Clinical Neuroscience, Karolinska Institute, 171 65 Stockholm, Sweden.ORCID 0000-0002-8781-1169
Adrian Elmi-TeranderDepartment of Clinical Neuroscience, Karolinska Institute, 171 65 Stockholm, Sweden.ORCID 0000-0002-3776-6136

Funding

Swedish Innovations Fund 108535 IF
6 · The paper itself

Abstract

Surgical navigation and augmented reality (AR) are widely used in neurosurgery, spinal surgery, and orthopedics. However, their use in minimally invasive abdominal and thoracic soft-tissue surgery is limited, as tracking deformable, mobile organs is challenging. Recent advances in AR may address these challenges to improve intraoperative navigation. This systematic review, registered in PROSPERO (2024) and based on PRISMA guidelines, analyzes literature from 2014 to 2024 about AR in minimally invasive abdominal and thoracic soft-tissue surgery. It identifies target organs, describes AR hardware and software, and evaluates accuracy levels, usability outcomes, clinical benefits, technical limitations, and research needs. Searches of PubMed, Web of Science, and Embase for English-language studies found 1297 records, of which only 28 (2%) met the inclusion criteria. Nearly half (

Indexed as

AbdomenAugmented RealityMinimally Invasive Surgical ProceduresSurgery, Computer-AssistedThoraxHumansabdominalaugmented realitycomputer-assisted surgeryminimally invasive surgerysoft-tissue surgerysystematic reviewthoracic

Identifiers

PMID41902130
PMCPMC13030279

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.