Evidence map›Paper›PMID 39599139›Full record

ReviewSensors (Basel, Switzerland)2024

The Application of Augmented Reality Technology in Perioperative Visual Guidance: Technological Advances and Innovation Challenges.

Yichun Shen, Shuyi Wang, Yuhan Shen, Jingyi Hu

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. 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

4 authors.

Yichun ShenSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Shuyi WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yuhan ShenSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Jingyi HuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Funding

Construction of High-level Universities (Substitute)-Talent Cultivation-Practice Base for Joint Cultivation of Engineers with Excellence in Biomedical Engineering of University of Shanghai for Science and Technology 10-23-308-007
6 · The paper itself

Abstract

In contemporary medical practice, perioperative visual guidance technology has become a critical element in enhancing the precision and safety of surgical procedures. This study provides a comprehensive review of the advancements in the application of Augmented Reality (AR) technology for perioperative visual guidance. This review begins with a retrospective look at the evolution of AR technology, including its initial applications in neurosurgery. It then delves into the technical challenges that AR faces in areas such as image processing, 3D reconstruction, spatial localization, and registration, underscoring the importance of improving the accuracy of AR systems and ensuring their stability and consistency in clinical use. Finally, the review looks forward to how AR technology could be further facilitated in medical applications with the integration of cutting-edge technologies like skin electronic devices and how the incorporation of machine learning could significantly enhance the accuracy of AR visual systems. As technology continues to advance, there is ample reason to believe that AR will be seamlessly integrated into medical practice, ushering the healthcare field into a new "Golden Age".

Indexed as

Augmented RealityHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMachine LearningSurgery, Computer-Assistedaugmented reality technologyimage processingmachine learningperioperative visual guidance technology

Identifiers

PMID39599139
PMCPMC11598101

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.