AIMC Journal:
The international journal of medical robotics + computer assisted surgery : MRCAS
Showing 231 to 240 of 250 articles
Predictive Capacities of a Machine Learning Decision Tree Model Created to Analyse Feasibility of an Open or Robotic Kidney Transplant.
The international journal of medical robotics + computer assisted surgery : MRCAS
Dec 1, 2024
BACKGROUND: Machine learning has emerged as a potent tool in healthcare. A decision tree model was built to improve the decision-making process when determining the optimal choice between an open or robotic surgical approach for kidney transplant.
Automatic Landmark Detection for Preoperative Planning of High Tibial Osteotomy Using Traditional Feature Extraction and Deep Learning Methods.
The international journal of medical robotics + computer assisted surgery : MRCAS
Dec 1, 2024
BACKGROUND: Automatic High Tibial Osteotomy (HTO) landmark detection methods promise to improve the effectiveness and standardisation of HTO preoperative planning. Unfortunately, due to the limited number of HTO datasets, existing methods are less ro...
Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.
The international journal of medical robotics + computer assisted surgery : MRCAS
Aug 1, 2024
BACKGROUND: This study aimed to develop a novel deep convolutional neural network called Dual-path Double Attention Transformer (DDA-Transformer) designed to achieve precise and fast knee joint CT image segmentation and to validate it in robotic-assi...
Aged
Male
Middle Aged
Deep Learning
Tomography, X-Ray Computed
Female
Reproducibility of Results
Knee Joint
Arthroplasty, Replacement, Knee
Tibia
Femur
Imaging, Three-Dimensional
Image Processing, Computer-Assisted
Robotic Surgical Procedures
Surgery, Computer-Assisted
Humans
Neural Networks, Computer
Algorithms
A review of robot-assisted ultrasound examination: Systems and technology.
The international journal of medical robotics + computer assisted surgery : MRCAS
Aug 1, 2024
BACKGROUND: At present, the number and overall level of ultrasound (US) doctors cannot meet the medical needs, and the medical ultrasound robots will largely solve the shortage of medical resources.
3D evaluation model of facial aesthetics based on multi-input 3D convolution neural networks for orthognathic surgery.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 1, 2024
BACKGROUND: Quantitative evaluation of facial aesthetics is an important but also time-consuming procedure in orthognathic surgery, while existing 2D beauty-scoring models are mainly used for entertainment with less clinical impact.
Force/position tracking control of fracture reduction robot based on nonlinear disturbance observer and neural network.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 1, 2024
BACKGROUND: For the fracture reduction robot, the position tracking accuracy and compliance are affected by dynamic loads from muscle stretching, uncertainties in robot dynamics models, and various internal and external disturbances.
A back propagation neural network based respiratory motion modelling method.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 1, 2024
BACKGROUND: This study presents the development of a backpropagation neural network-based respiratory motion modelling method (BP-RMM) for precisely tracking arbitrary points within lung tissue throughout free respiration, encompassing deep inspirati...
ERegPose: An explicit regression based 6D pose estimation for snake-like wrist-type surgical instruments.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 1, 2024
BACKGROUND: Accurately estimating the 6D pose of snake-like wrist-type surgical instruments is challenging due to their complex kinematics and flexible design.
Transfer learning for anatomical structure segmentation in otorhinolaryngology microsurgery.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 1, 2024
BACKGROUND: Reducing the annotation burden is an active and meaningful area of artificial intelligence (AI) research.
Automatic pterygopalatine fossa segmentation and localisation based on DenseASPP.
The international journal of medical robotics + computer assisted surgery : MRCAS
Apr 1, 2024
BACKGROUND: Allergic rhinitis constitutes a widespread health concern, with traditional treatments often proving to be painful and ineffective. Acupuncture targeting the pterygopalatine fossa proves effective but is complicated due to the intricate n...
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