AIMC Topic: Swine, Miniature
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Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.
Scientific reports
Jul 2, 2025
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, using data from Bama miniature pigs and patients in Beijing, China. A deep learning model was created and fine-tuned with animal and clinical data, achi...
Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility Study.
Journal of cardiovascular translational research
Jul 17, 2024
Heart failure (HF) is defined as the inability of the heart to meet body oxygen demand requiring an elevation in left ventricular filling pressures (LVP) to compensate. LVP increase can be assessed in the cardiac catheterization laboratory, but this ...
Stroke Volume
Swine
Electrocardiography
Machine Learning
Animals
Ventricular Function, Left
Oximetry
Swine, Miniature
Heart Sounds
Disease Models, Animal
Feasibility Studies
Predictive Value of Tests
Heart Failure
Signal Processing, Computer-Assisted
Heart Rate
Phonocardiography
Ventricular Pressure
Pain-free oral delivery of biologic drugs using intestinal peristalsis-actuated microneedle robots.
Science advances
Jan 5, 2024
Biologic drugs hold immense promise for medical treatments, but their oral delivery remains a daunting challenge due to the harsh digestive environment and restricted gastrointestinal absorption. Here, inspired by the porcupinefish's ability to infla...
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...
Application and Accuracy of Craniomaxillofacial Plastic Surgery Robot in Congenital Craniosynostosis Surgery.
The Journal of craniofacial surgery
Mar 20, 2023
OBJECTIVE: The objective of this study was to observe the accuracy and security of the craniomaxillofacial plastic surgery robot in congenital craniosynostosis surgery and to enhance and improve its performance.
Predicting anterior cruciate ligament failure load with T* relaxometry and machine learning as a prospective imaging biomarker for revision surgery.
Scientific reports
Mar 2, 2023
Non-invasive methods to document healing anterior cruciate ligament (ACL) structural properties could potentially identify patients at risk for revision surgery. The objective was to evaluate machine learning models to predict ACL failure load from m...
Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study.
Investigative radiology
Apr 6, 2022
OBJECTIVE: This feasibility study aimed to use optimized virtual contrast enhancement through generative adversarial networks (GAN) to reduce the dose of iodine-based contrast medium (CM) during abdominal computed tomography (CT) in a large animal mo...
HistoNet: A Deep Learning-Based Model of Normal Histology.
Toxicologic pathology
Mar 3, 2021
We introduce HistoNet, a deep neural network trained on normal tissue. On 1690 slides with rat tissue samples from 6 preclinical toxicology studies, tissue regions were outlined and annotated by pathologists into 46 different tissue classes. From the...
Artificial Intelligence-Based Quantification of Epithelial Proliferation in Mammary Glands of Rats and Oviducts of Göttingen Minipigs.
Toxicologic pathology
Aug 25, 2020
Quantitative assessment of proliferation can be an important endpoint in toxicologic pathology. Traditionally, cell proliferation is quantified by labor-intensive manual counting of positive and negative cells after immunohistochemical staining for p...
Comparing the Bone Healing After Cold Ablation Robot-Guided Er:YAG Laser Osteotomy and Piezoelectric Osteotomy-A Pilot Study in a Minipig Mandible.
Lasers in surgery and medicine
Jun 11, 2020
BACKGROUND AND OBJECTIVE: To take major advantage of erbium-doped yttrium aluminium garnet (Er:YAG) lasers in osteotomy-like freedom of cutting geometries and high accuracy-the integration and miniaturization of the robot, laser, and navigation techn...
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