AIMC Topic: Rabbits
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Modeling of the dynamics of vascular embolization by using porous media for the design of injection robots of embolic agents.
Medical engineering & physics
Feb 11, 2022
Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis. However, the injection of embolic agents largely depends on the experiences of doctors as assisted by X-ray, which will negate the health of the doc...
A CNN-based method to reconstruct 3-D spine surfaces from US images in vivo.
Medical image analysis
Sep 1, 2021
Three-dimensional (3-D) reconstruction of the spine surface is of strong clinical relevance for the diagnosis and prognosis of spine disorders and intra-operative image guidance. In this paper, we report a new technique to reconstruct lumbar spine su...
Transcorneal delivery of topically applied silver nanoparticles does not delay epithelial wound healing.
NanoImpact
Aug 24, 2021
Silver nanoparticles (AgNPs) are a common antimicrobial additive for a variety of applications, including wound care. However, AgNPs often undergo dissolution resulting in release of silver ions, with subsequent toxicity to mammalian cells. The corne...
Early pregnancy diagnosis of rabbits: A non-invasive approach using Vis-NIR spatially resolved spectroscopy.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Aug 6, 2021
Pregnancy diagnosis is essential for rabbit's reproductive management. The early identification of non-pregnant rabbits allows for earlier re-insemination, increases the service rate, and reduces the laboring interval in commercial operations. The ob...
Predicting wet age-related macular degeneration (AMD) using DARC (detecting apoptosing retinal cells) AI (artificial intelligence) technology.
Expert review of molecular diagnostics
Dec 28, 2020
OBJECTIVES: To assess a recently described CNN (convolutional neural network) DARC (Detection of Apoptosing Retinal Cells) algorithm in predicting new Subretinal Fluid (SRF) formation in Age-related-Macular-Degeneration (AMD).
Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver.
Ultrasound in medicine & biology
Dec 25, 2020
Quantitative ultrasound (QUS) was used to classify rabbits that were induced to have liver disease by placing them on a fatty diet for a defined duration and/or periodically injecting them with CCl. The ground truth of the liver state was based on li...
Flow driven robotic navigation of microengineered endovascular probes.
Nature communications
Dec 22, 2020
Minimally invasive medical procedures, such as endovascular catheterization, have considerably reduced procedure time and associated complications. However, many regions inside the body, such as in the brain vasculature, still remain inaccessible due...
Machine learning to predict mesenchymal stem cell efficacy for cartilage repair.
PLoS computational biology
Oct 7, 2020
Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been documented in many clinical trials. Precise prediction on the therapeutic outcome of a MSC therapy based on the patient's conditions would provide va...
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.
A coordinate positioning puncture method under robot-assisted CT-guidance: phantom and animal experiments.
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Jul 7, 2020
PURPOSE: To evaluate the accuracy of the robot-assisted computed tomography (CT)-guided coordinate positioning puncture method by phantom and animal experiments.
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