AIMC Topic: Swine
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In situ sensing physiological properties of biological tissues using wireless miniature soft robots.
Science advances
Jun 7, 2023
Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanced physiological properties of soft biological tissues continuously, such as adhesion, pH, viscoelasticity, and biomarkers for disease diagnosis. Howe...
TSML: A New Pig Behavior Recognition Method Based on Two-Stream Mutual Learning Network.
Sensors (Basel, Switzerland)
May 26, 2023
Changes in pig behavior are crucial information in the livestock breeding process, and automatic pig behavior recognition is a vital method for improving pig welfare. However, most methods for pig behavior recognition rely on human observation and de...
In-Vivo Validation of a Novel Robotic Platform for Endovascular Intervention.
IEEE transactions on bio-medical engineering
May 19, 2023
OBJECTIVE: In-vivo validation on animal setting of a pneumatically propelled robot for endovascular intervention, to determine safety and clinical advantage of robotic cannulations compared to manual operation.
Precise angle estimation of capsule robot in ultrasound using heatmap guided two-stage network.
Computer methods and programs in biomedicine
May 18, 2023
PURPOSE: A capsule robot can be controlled inside gastrointestinal (GI) tract by an external permanent magnet outside of human body for finishing non-invasive diagnosis and treatment. Locomotion control of capsule robot relies on the precise angle fe...
Automated identification of piglet brain tissue from MRI images using Region-based Convolutional Neural Networks.
PloS one
May 11, 2023
Magnetic resonance imaging is an important tool for characterizing volumetric changes of the piglet brain during development. Typically, an early step of an imaging analysis pipeline is brain extraction, or skull stripping. Brain extractions are usua...
Deployment of an electrocorticography system with a soft robotic actuator.
Science robotics
May 10, 2023
Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epileptogenic regions of the brain and facilitate lesion resection surgery and increasingly explored in brain-machine interface applications. Current devic...
Accurate gingival segmentation from 3D images with artificial intelligence: an animal pilot study.
Progress in orthodontics
May 1, 2023
BACKGROUND: Gingival phenotype plays an important role in dental diagnosis and treatment planning. Traditionally, determining the gingival phenotype is done by manual probing of the gingival soft tissues, an invasive and time-consuming procedure. Thi...
Analysis of cardiac single-cell RNA-sequencing data can be improved by the use of artificial-intelligence-based tools.
Scientific reports
Apr 26, 2023
Single-cell RNA sequencing (scRNAseq) enables researchers to identify and characterize populations and subpopulations of different cell types in hearts recovering from myocardial infarction (MI) by characterizing the transcriptomes in thousands of in...
Bioinspired, ingestible electroceutical capsules for hunger-regulating hormone modulation.
Science robotics
Apr 26, 2023
The gut-brain axis, which is mediated via enteric and central neurohormonal signaling, is known to regulate a broad set of physiological functions from feeding to emotional behavior. Various pharmaceuticals and surgical interventions, such as motilit...
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...
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