ArticleJournal of clinical medicine2020
Evaluation of Surgical Skills during Robotic Surgery by Deep Learning-Based Multiple Surgical Instrument Tracking in Training and Actual Operations.
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
What it found
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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
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 102 citations in OpenAlex.
- Artificial intelligence augmented tutoring vs expert instruction on learning simulated general surgical skills: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review.The British journal of surgery · 2024Pooled it
- Effect of an anti-adhesion agent on vision-based assessment of cervical adhesions after thyroid surgery: randomized, placebo-controlled trial.Scientific reports · 2021Trial
- Ambient intelligence-based framework for quantitative evaluation of cell culture operations to support standardization and training.Regenerative therapy · 2026Article
- Association Between Video-Derived Digital Operative Metrics and GEARS Scores in Robotic Surgery and Development of an Exploratory Multivariable Model.Journal of clinical medicine · 2026Article
- Artificial intelligence-supported segmentation of cardiac anatomy in open-heart surgery videos.Journal of robotic surgery · 2026Article
- Review
- Artificial intelligence-driven real-time assistance in minimally invasive surgery: a technology-oriented narrative review.Journal of minimally invasive surgery · 2026Review
- A decade-long shift in use of energy devices for BABA robotic thyroidectomy: automated video analysis by deep learning.Journal of robotic surgery · 2026Article
- Review
- Quantitative Analysis of Instrument Motion Paths in Cataract Surgery across a Resident's Training.Ophthalmology science · 2026Article
- Review
- Objective performance indicators during robotic Roux-en-Y gastric bypass distinguish experienced from trainee surgeons: a cross-sectional study.Surgical endoscopy · 2025Article
- Use of artificial intelligence in the analysis of digital videos of invasive surgical procedures: scoping review.BJS open · 2025Article
- Development of a deep learning-based model for guiding a dissection during robotic breast surgery.Breast cancer research : BCR · 2025Article
- Review
- Systematic review of machine learning applications using nonoptical motion tracking in surgery.NPJ digital medicine · 2025Article
- Technical Skills Assessment in Robotic Surgery: A Review of Recent Methods.Methodist DeBakey cardiovascular journal · 2025Review
- Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review.Frontiers in surgery · 2025Review
- Automated surgical skill assessment in endoscopic pituitary surgery using real-time instrument tracking on a high-fidelity bench-top phantom.Healthcare technology letters · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
As the number of robotic surgery procedures has increased, so has the importance of evaluating surgical skills in these techniques. It is difficult, however, to automatically and quantitatively evaluate surgical skills during robotic surgery, as these skills are primarily associated with the movement of surgical instruments. This study proposes a deep learning-based surgical instrument tracking algorithm to evaluate surgeons' skills in performing procedures by robotic surgery. This method overcame two main drawbacks: occlusion and maintenance of the identity of the surgical instruments. In addition, surgical skill prediction models were developed using motion metrics calculated from the motion of the instruments. The tracking method was applied to 54 video segments and evaluated by root mean squared error (RMSE), area under the curve (AUC), and Pearson correlation analysis. The RMSE was 3.52 mm, the AUC of 1 mm, 2 mm, and 5 mm were 0.7, 0.78, and 0.86, respectively, and Pearson's correlation coefficients were 0.9 on the
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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.