ArticleIEEE transactions on medical robotics and bionics2025
A Confidence-Based Shared Control Strategy for Robotic Electrosurgery.
Article in IEEE transactions on medical robotics and bionics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Robotic-assisted surgery (RAS) systems take advantage of dexterous tools, enhanced vision, and motion filtering to improve patient outcomes. Whereas most RAS systems are directly controlled by surgeons, the development and application of autonomous RAS are growing owing to their repeatability and precision. Although full autonomy is a long-term goal, human intervention in RAS is still essential. In this work, we develop and test a shared control strategy for robotic electrosurgery in which autonomous robot controllers and human operators collaborate. We designed and implemented identification tests that assessed the effectiveness of autonomous and manual control strategies and the cost of switching between the control modes. Based on the results, we propose a control mode switching strategy and examine it via an experiment on precision cutting on porcine tongue samples. The results indicate that by combining the best elements of autonomous and manual control, we can achieve more accurate soft-tissue incisions as compared to single-mode control strategies. Furthermore, the proposed strategy reduces the required human-in-the-loop time by 69.29%.
Indexed as
Identifiers
What Socratic 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 Socratic graph.