AIMC Topic: Models, Animal

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Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning.

Surgical endoscopy Jan 13, 2025
OBJECTIVES: This study aimed to develop an automated skills assessment tool for surgical trainees using deep learning.
Humans Neural Networks, Computer Animals Robotic Surgical Procedures Video Recording Models, Animal Swine Deep Learning Clinical Competence
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A proposal for cut marks classification using machine learning: Serrated vs. non-serrated, single vs. double-beveled knives.

Journal of forensic sciences Jul 25, 2024
In tool mark identification, there is still a lack of characteristics and methodologies standardization used to analyze and describe sharp force trauma marks on skeletal remains. This study presents a classification method for cut marks on human bone...
Models, Animal Weapons Wounds, Stab Ribs Animals Swine Logistic Models Equipment Design Machine Learning Microscopy
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Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal model.

European journal of radiology Dec 19, 2023
PURPOSE: Computed tomography (CT) scans are a significant source of medically induced radiation exposure. Novel deep learning-based denoising (DLD) algorithms have been shown to enable diagnostic image quality at lower radiation doses than iterative ...
Tomography, X-Ray Computed Animals Swine Humans Algorithms Models, Animal Radiation Dosage Deep Learning Radiographic Image Interpretation, Computer-Assisted
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How is Big Data reshaping preclinical aging research?

Lab animal Nov 28, 2023
The exponential scientific and technological progress during the past 30 years has favored the comprehensive characterization of aging processes with their multivariate nature, leading to the advent of Big Data in preclinical aging research. Spanning...
Big Data Computational Biology Models, Animal Artificial Intelligence Animals Geroscience
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A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastoma.

Physics in medicine and biology Jul 24, 2023
. A novel solution is required for accurate 3D bioluminescence tomography (BLT) based glioblastoma (GBM) targeting. The provided solution should be computationally efficient to support real-time treatment planning, thus reducing the x-ray imaging dos...
Deep Learning Cone-Beam Computed Tomography Rats Glioblastoma Models, Animal Tomography Animals
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Advancing Computational Toxicology by Interpretable Machine Learning.

Environmental science & technology May 24, 2023
Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals have a critical impact on human health. Traditional animal models to evaluate chemical toxicity are expensive, time-consuming, and often fail to detect toxicants ...
Models, Animal Hazardous Substances Computational Biology Toxicology Humans Machine Learning Animals Risk Assessment
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High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.

Scientific reports Apr 19, 2023
Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescence staining can provide spatial information about heterogeneous injury responses, but often only a fraction of stained tissue is analyzed. Deep learni...
Humans Folic Acid Deep Learning Models, Animal Acute Kidney Injury Mice Animals Kidney
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Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 18, 2023
INTRODUCTION: Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insufficiency related morbidity and mortality remain challenging for patient outcome. Therefore, the objective of this work was to optimize anastomotic techni...
Anastomotic Leak Models, Animal Stomach Machine Learning Surgical Stapling Animals Gastrostomy Swine Esophagectomy Hyperspectral Imaging Anastomosis, Surgical Minimally Invasive Surgical Procedures Esophagus
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Three-Dimensional Visualization of the Podocyte Actin Network Using Integrated Membrane Extraction, Electron Microscopy, and Machine Learning.

Journal of the American Society of Nephrology : JASN Nov 10, 2021
BACKGROUND: Actin stress fibers are abundant in cultured cells, but little is known about them . In podocytes, much evidence suggests that mechanobiologic mechanisms underlie podocyte shape and adhesion in health and in injury, with structural change...
Models, Animal Podocytes Machine Learning Imaging, Three-Dimensional Microscopy, Electron Animals Mice Actin Cytoskeleton Mice, Inbred C57BL
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High-Throughput, Label-Free and Slide-Free Histological Imaging by Computational Microscopy and Unsupervised Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Nov 7, 2021
Rapid and high-resolution histological imaging with minimal tissue preparation has long been a challenging and yet captivating medical pursuit. Here, the authors propose a promising and transformative histological imaging method, termed computational...
Mice Kidney Unsupervised Machine Learning Humans Animals Brain Microscopy Lung Models, Animal Histological Techniques
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