ArticleHealth information science and systems2023
A new mixed reality tool for training in minimally invasive robotic-assisted surgery.
Article in Health information science and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Technology-enhanced training in basic robotic surgical skills: a systematic review.Journal of robotic surgery · 2026Pooled it
- Impact of extended reality on robot-assisted surgery training: a systematic review and meta-analysis.Journal of robotic surgery · 2025Pooled it
- Acceptance and use of extended reality in surgical training: an umbrella review.Systematic reviews · 2024Pooled it
- Perception of robotic-assisted surgery (RAS) among medical students: a systematic review and meta-analysis.Journal of robotic surgery · 2024Pooled it
- Delivering remote procedural training on peripheral intravenous cannulation to medical students using the Microsoft Hololens 2: a mixed-methods evaluation.BMC medical education · 2026Trial
- Adaptive frequency band attention-guided CNN-BiLSTM for Spatial-Spectral-Temporal EEG emotion recognition.Brain informatics · 2026Article
- Bridging the gap between AI and traditional teaching methods in medical education: opportunities, challenges, and solutions.Frontiers in medicine · 2026Review
- Review
- Enhancing generalization in zero-shot multi-label endoscopic instrument classification.International journal of computer assisted radiology and surgery · 2025Article
- CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection.Health information science and systems · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robotic-assisted surgery (RAS) is developing an increasing role in surgical practice. Therefore, it is of the utmost importance to introduce this paradigm into surgical training programs. However, the steep learning curve of RAS remains a problem that hinders the development and widespread use of this surgical paradigm. For this reason, it is important to be able to train surgeons in the use of RAS procedures. RAS involves distinctive features that makes its learning different to other minimally invasive surgical procedures. One of these features is that the surgeons operate using a stereoscopic console. Therefore, it is necessary to perform RAS training stereoscopically. This article presents a mixed-reality (MR) tool for the stereoscopic visualization, annotation and collaborative display of RAS surgical procedures. The tool is an MR application because it can display real stereoscopic content and augment it with virtual elements (annotations) properly registered in 3D and tracked over time. This new tool allows the registration of surgical procedures, teachers (experts) and students (trainees), so that the teacher can share a set of videos with their students, annotate them with virtual information and use a shared virtual pointer with the students. The students can visualize the videos within a web environment using their personal mobile phones or a desktop stereo system. The use of the tool has been assessed by a group of 15 surgeons during a robotic-surgery master's course. The results show that surgeons consider that this tool can be very useful in RAS training.
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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.