ReviewJournal of robotic surgery2025
The evolution of training in robotic colorectal surgery.
Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Economic transition during robotic colorectal surgery implementation: reduced device costs and improved gross profit per hospital day.Journal of robotic surgery · 2026Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of robotic technology into colorectal surgery has transformed surgical practice, demanding advancements in training methods. This narrative review explores the evolution of training in robotic colorectal surgery, from early observational learning and manual mentorship to the incorporation of simulation-based training, structured curricula, and competency-based assessments. Key milestones include the development of validated metrics, the adoption of virtual reality and augmented reality platforms, and the establishment of dedicated robotic fellowships and certification frameworks. The review also highlights ongoing challenges such as access to training, standardization across institutions, and the need for evidence-based evaluation of training outcomes. As robotic platforms continue to evolve, so too must the educational strategies that prepare surgeons for safe and effective practice. Future directions point toward greater integration of artificial intelligence, real-time performance feedback, and global collaboration in curriculum design.
Indexed as
Identifiers
40879846What 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.