AIMC Topic: Microsurgery

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Robotics in Vitreo-Retinal Surgery.

Seminars in ophthalmology
PURPOSE: Modern vitreo-retinal surgery has scaled new frontiers with the advent of better instrumentation. However, physiological tremors, intraocular dexterity and difficulty in visualization hamper minimally invasive retinal surgery. Robotics has t...

Machine learning models for prognosis prediction in endodontic microsurgery.

Journal of dentistry
OBJECTIVES: This study aimed to establish and validate machine learning models for prognosis prediction in endodontic microsurgery, avoiding treatment failure and supporting clinical decision-making.

Automated tool detection with deep learning for monitoring kinematics and eye-hand coordination in microsurgery.

Computers in biology and medicine
In microsurgical procedures, surgeons use micro-instruments under high magnifications to handle delicate tissues. These procedures require highly skilled attentional and motor control for planning and implementing eye-hand coordination strategies. Ey...

Leader manipulator with hand rest function for microsurgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
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
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
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
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
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
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
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.