AIMC Topic: Microsurgery
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Leader manipulator with hand rest function for microsurgery.
The international journal of medical robotics + computer assisted surgery : MRCAS
Dec 8, 2021
BACKGROUND: Hand rest assists microsurgeons with maintaining a stable hand condition. In manipulating a surgical robot using teleoperation, the external hand rest poses mechanical difficulties such as interferences from manipulators.
Adaptive Control Improves Sclera Force Safety in Robot-Assisted Eye Surgery: A Clinical Study.
IEEE transactions on bio-medical engineering
Oct 19, 2021
The integration of robotics into retinal microsurgery leads to a reduction in surgeon perception of tool-to-tissue interaction forces. This blunting of human tactile sensory input, which is due to the inflexible mass and large inertia of the robotic ...
A novel encountered-type master device with precise manipulation for robot-assisted microsurgery.
The international journal of medical robotics + computer assisted surgery : MRCAS
Aug 17, 2021
BACKGROUND: The unconstrained master devices have emerged as attractive alternatives to the existing linkage-based counterparts. However, the conventional unconstrained master device's manipulation methods have several disadvantages in efficiency and...
Resection of Intracranial Tumors with a Robotic-Assisted Digital Microscope: A Preliminary Experience with Robotic Scope.
World neurosurgery
May 27, 2021
BACKGROUND: Magnified intraoperative visualization is of paramount importance during microsurgical procedures. Although the introduction of the operating microscope represented one of the most relevant innovations in modern neurosurgery, surgical vis...
Validating machine learning approaches for prediction of donor related complication in microsurgical breast reconstruction: a retrospective cohort study.
Scientific reports
Mar 10, 2021
Autologous reconstruction using abdominal flaps remains the most popular method for breast reconstruction worldwide. We aimed to evaluate a prediction model using machine-learning methods and to determine which factors increase abdominal flap donor s...
Automated Vision-Based Microsurgical Skill Analysis in Neurosurgery Using Deep Learning: Development and Preclinical Validation.
World neurosurgery
Feb 12, 2021
BACKGROUND/OBJECTIVE: Technical skill acquisition is an essential component of neurosurgical training. Educational theory suggests that optimal learning and improvement in performance depends on the provision of objective feedback. Therefore, the aim...
Robotic Retinal Surgery Impacts on Scleral Forces: In Vivo Study.
Translational vision science & technology
Sep 1, 2020
PURPOSE: This study aims to map force interaction between instrument and sclera of in vivo rabbits during retinal procedures, and verify if a robotic active force control could prevent unwanted increase of forces on the sclera.
The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology.
The British journal of ophthalmology
Aug 14, 2020
Training the modern ophthalmic surgeon is a challenging process. Microsurgical education can benefit from innovative methods to practice surgery in low-risk simulations, assess and refine skills in the operating room through video content analytics, ...
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.
International journal of computer assisted radiology and surgery
May 15, 2020
PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) enables performing an optical biopsy via a probe. pCLE probes consist of multiple optical fibres arranged in a bundle, which taken together generate signals in an irregularly sampled pattern. ...
Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.
Acta neurochirurgica
May 1, 2020
BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and requires balancing of risk factors and scores. Machine learning (ML) algorithms have previously been effective at generating highly accurate and comprehe...
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