AIMC Topic: Swine
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Body Weight Estimation for Pigs Based on 3D Hybrid Filter and Convolutional Neural Network.
Sensors (Basel, Switzerland)
Sep 7, 2023
The measurement of pig weight holds significant importance for producers as it plays a crucial role in managing pig growth, health, and marketing, thereby facilitating informed decisions regarding scientific feeding practices. On one hand, the conven...
iOCT-guided simulated subretinal injections: a comparison between manual and robot-assisted techniques in an ex-vivo porcine model.
Journal of robotic surgery
Sep 5, 2023
The purpose of this study is to compare robot-assisted and manual subretinal injections in terms of successful subretinal blistering, reflux incidences and damage of the retinal pigment epithelium (RPE). Subretinal injection was simulated on 84 ex-vi...
Flexible instrument with contact-aided structure and force feedback for endoscopic surgery.
The international journal of medical robotics + computer assisted surgery : MRCAS
Sep 4, 2023
BACKGROUND: Robot-assisted surgery can effectively reduce the difficulty and improve the success rate of the surgeries. However, currently available flexible instruments have several limitations, such as large size, few degrees of freedom, and lack o...
Artificial intelligence directed development of a digital twin to measure soft tissue shift during head and neck surgery.
PloS one
Aug 9, 2023
Digital twins derived from 3D scanning data were developed to measure soft tissue deformation in head and neck surgery by an artificial intelligence approach. This framework was applied suggesting feasibility of soft tissue shift detection as a hithe...
DeepSATA: A Deep Learning-Based Sequence Analyzer Incorporating the Transcription Factor Binding Affinity to Dissect the Effects of Non-Coding Genetic Variants.
International journal of molecular sciences
Jul 27, 2023
Utilizing large-scale epigenomics data, deep learning tools can predict the regulatory activity of genomic sequences, annotate non-coding genetic variants, and uncover mechanisms behind complex traits. However, these tools primarily rely on human or ...
Feasibility of intra-operative image guidance in burn excision surgery with multispectral imaging and deep learning.
Burns : journal of the International Society for Burn Injuries
Jul 26, 2023
BACKGROUND: Exposing a healthy wound bed for skin grafting is an important step during burn surgery to ensure graft take and maintain good functional outcomes. Currently, the removal of non-viable tissue in the burn wound bed during excision is deter...
Deep-Learning-Enabled Microwave-Induced Thermoacoustic Tomography Based on ResAttU-Net for Transcranial Brain Hemorrhage Detection.
IEEE transactions on bio-medical engineering
Jul 18, 2023
OBJECTIVE: Hemorrhagic stroke is a leading threat to human's health. The fast-developing microwave-induced thermoacoustic tomography (MITAT) technique holds potential to do brain imaging. However, transcranial brain imaging based on MITAT is still ch...
Risk Assessment of the Possible Intermediate Host Role of Pigs for Coronaviruses with a Deep Learning Predictor.
Viruses
Jul 15, 2023
Swine coronaviruses (CoVs) have been found to cause infection in humans, suggesting that Suiformes might be potential intermediate hosts in CoV transmission from their natural hosts to humans. The present study aims to establish convolutional neural ...
Deep-learning based segmentation of ultrasound adipose image for liposuction.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jul 14, 2023
BACKGROUND: To develop an automatic and reliable ultrasonic visual system for robot- or computer-assisted liposuction, we examined the use of deep learning for the segmentation of adipose ultrasound images in clinical and educational settings.
Identification of milling status based on vibration signals using artificial intelligence in robot-assisted cervical laminectomy.
European journal of medical research
Jun 29, 2023
BACKGROUND: With advances in science and technology, the application of artificial intelligence in medicine has significantly progressed. The purpose of this study is to explore whether the k-nearest neighbors (KNN) machine learning method can identi...
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