ArticleJournal of digital imaging2021
On the Use of Virtual Reality for Medical Imaging Visualization.
Article in Journal of digital imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Virtual reality simulator's effectiveness on the spine procedure education for trainee: a randomized controlled trial.Korean journal of anesthesiology · 2023Trial
- Assessing the impact of virtual reality on surgeons' mental models of complex congenital heart cases.International journal of computer assisted radiology and surgery · 2026Article
- Utilization of extended-reality technologies in the field of medical radiation.Radiological physics and technology · 2026Review
- Transforming Care in Congenital Heart Disease: The Role of Extended Reality in Family and Trainee Education and Procedural Planning.Current cardiology reports · 2025Review
- Feasibility of Using the Apple Vision Pro for Diagnostic Radiology: User Experience and Perceived Clinical Utility.Journal of imaging informatics in medicine · 2025Article
- The Application of Augmented Reality Technology in Perioperative Visual Guidance: Technological Advances and Innovation Challenges.Sensors (Basel, Switzerland) · 2024Review
- Evaluation of monocular and binocular contrast perception on virtual reality head-mounted displays.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Blending space and time to talk about cancer in extended reality.NPJ digital medicine · 2024Review
- Advancing radiology education for medical students: leveraging digital tools and resources.Polish journal of radiology · 2024Review
- Development and Evaluation of a Virtual Reality Simulator for Spinal Cord Stimulation: A Randomized Controlled Trial.Journal of pain research · 2024Article
- Urology: a trip into metaverse.World journal of urology · 2023Review
- Application of Medical Image Navigation Technology in Minimally Invasive Puncture Robot.Sensors (Basel, Switzerland) · 2023Review
- Advantages of a Training Course for Surgical Planning in Virtual Reality for Oral and Maxillofacial Surgery: Crossover Study.JMIR serious games · 2023Article
- On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks.Archives of computational methods in engineering : state of the art reviews · 2023Article
- MeVisLab-OpenVR prototyping platform for virtual reality medical applications.International journal of computer assisted radiology and surgery · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advanced visualization of medical imaging has been a motive for research due to its value for disease analysis, surgical planning, and academical training. More recently, attention has been turning toward mixed reality as a means to deliver more interactive and realistic medical experiences. However, there are still many limitations to the use of virtual reality for specific scenarios. Our intent is to study the current usage of this technology and assess the potential of related development tools for clinical contexts. This paper focuses on virtual reality as an alternative to today's majority of slice-based medical analysis workstations, bringing more immersive three-dimensional experiences that could help in cross-slice analysis. We determine the key features a virtual reality software should support and present today's software tools and frameworks for researchers that intend to work on immersive medical imaging visualization. Such solutions are assessed to understand their ability to address existing challenges of the field. It was understood that most development frameworks rely on well-established toolkits specialized for healthcare and standard data formats such as DICOM. Also, game engines prove to be adequate means of combining software modules for improved results. Virtual reality seems to remain a promising technology for medical analysis but has not yet achieved its true potential. Our results suggest that prerequisites such as real-time performance and minimum latency pose the greatest limitations for clinical adoption and need to be addressed. There is also a need for further research comparing mixed realities and currently used technologies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.