AI Medical Compendium Journal:
Journal of the mechanical behavior of biomedical materials

Showing 11 to 20 of 36 articles

Real-time haptic characterisation of Hunt-Crossley model based on radial basis function neural network for contact environment.

Journal of the mechanical behavior of biomedical materials Jun 3, 2024
Dynamic soft tissue characterisation is an important element in robotic minimally invasive surgery. This paper presents a novel method by combining neural network with recursive least square (RLS) estimation for dynamic soft tissue characterisation b...
Neural Networks, Computer Least-Squares Analysis Algorithms Touch Time Factors
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Self-organising maps in the analysis of strains of human abdominal wall to identify areas of similar mechanical behaviour.

Journal of the mechanical behavior of biomedical materials May 11, 2024
The study refers to the application of a type of artificial neural network called the Self-Organising Map (SOM) for the identification of areas of the human abdominal wall that behave in a similar mechanical way. The research is based on data acquire...
Mechanical Tests Neural Networks, Computer Pressure Biomechanical Phenomena Humans Abdominal Wall Male Stress, Mechanical
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Physics-informed UNets for discovering hidden elasticity in heterogeneous materials.

Journal of the mechanical behavior of biomedical materials Nov 10, 2023
Soft biological tissues often have complex mechanical properties due to variation in structural components. In this paper, we develop a novel UNet-based neural network model for inversion in elasticity (El-UNet) to infer the spatial distributions of ...
Algorithms Elasticity Neural Networks, Computer Elasticity Imaging Techniques Finite Element Analysis
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Development of predictive algorithms for the wear resistance of denture teeth materials.

Journal of the mechanical behavior of biomedical materials Jun 25, 2023
OBJECTIVES: To investigate the wear resistance of conventional, CAD-milled and 3D-printed denture teeth in vitro with simulated aging. To use the collected data to train single time series sample model LSTM and provide proof of concept.
Materials Testing Surface Properties Polymethyl Methacrylate Dentures Neural Networks, Computer Reproducibility of Results
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Biomechanical simulation of forces and moments of initial orthodontic tooth movement in dependence on the used archwire system by ROSS (Robot Orthodontic Measurement & Simulation System).

Journal of the mechanical behavior of biomedical materials Jun 19, 2023
OBJECTIVES: Aim of this study was to determine the forces and moments during simulated initial orthodontic tooth movements using a novel biomechanical test setup.
Orthodontic Brackets Orthodontic Appliance Design Robotics Tooth Movement Techniques Orthodontic Wires
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3D printed biomedical devices and their applications: A review on state-of-the-art technologies, existing challenges, and future perspectives.

Journal of the mechanical behavior of biomedical materials May 27, 2023
3D printing, also known as Additive manufacturing (AM), has emerged as a transformative technology with applications across various industries, including the medical sector. This review paper provides an overview of the current status of AM technolog...
Ceramics Artificial Intelligence Humans Printing, Three-Dimensional Plastics Prostheses and Implants
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Predicting mechanical properties of silk from its amino acid sequences via machine learning.

Journal of the mechanical behavior of biomedical materials Feb 22, 2023
The silk fiber is increasingly being sought for its superior mechanical properties, biocompatibility, and eco-friendliness, making it promising as a base material for various applications. One of the characteristics of protein fibers, such as silk, i...
Machine Learning Spiders Biomechanical Phenomena Silk Animals Amino Acid Sequence
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The synergy of synchrotron imaging and convolutional neural networks towards the detection of human micro-scale bone architecture and damage.

Journal of the mechanical behavior of biomedical materials Nov 17, 2022
The growing health and economic burden of bone fractures, their intricate multiscale features and the existing knowledge gaps in the comprehension of micro-scale bone damage occurrence make fracture diagnosis a challenging issue. In this scenario, de...
Synchrotrons Machine Learning Algorithms Artificial Intelligence Humans Neural Networks, Computer
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Segmentation of trabecular bone microdamage in Xray microCT images using a two-step deep learning method.

Journal of the mechanical behavior of biomedical materials Oct 25, 2022
INTRODUCTION: One of the current approaches to improve our understanding of osteoporosis is to study the development of bone microdamage under mechanical loading. The current practice for evaluating bone microdamage is to quantify damage volume from ...
Image Processing, Computer-Assisted Contrast Media Neural Networks, Computer Deep Learning X-Ray Microtomography Animals Cattle Cancellous Bone
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Printability for additive manufacturing with machine learning: Hybrid intelligent Gaussian process surrogate-based neural network model for Co-Cr alloy.

Journal of the mechanical behavior of biomedical materials Aug 31, 2022
AM has revolutionized the manufacturing industry, involving several operating parameters that may affect the properties of the final manufactured part. In AM, LPBF has proved its reliability in producing dense components; however, process development...
Powders Alloys Machine Learning Neural Networks, Computer Reproducibility of Results
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