Orthopedics

What are the perceived benefits and barriers to the use of robot-assisted total knee arthroplasty? A survey of members of the European Knee Society.

PURPOSE: Members of the European Knee Society (EKS) recently took part in an online questionnaire on robot-assisted TKA. The purpose of this study was to report and analyse the questionnaire results on the demographics of users versus non-users, the drivers for users of the technology, and the barriers or limitations that hinder the uptake of robot-assisted TKA.

How long does image based robotic total knee arthroplasty take during the learning phase? Analysis of the key steps from the first fifty cases.

INTRODUCTION: Robotically assisted total knee arthroplasty (RA-TKA) is an emerging surgical tool. The purpose of this study was to analyze the length of time taken to perform the key steps of a RA-TKA for a surgeon and centre new to the MAKO robotic system.

Robot-patient registration for optical tracker-free robotic fracture reduction surgery.

BACKGROUND AND OBJECTIVE: Image-guided robotic surgery for fracture reduction is a medical procedure in which surgeons control a surgical robot to ali...

Electromyography-driven model-based estimation of ankle torque and stiffness during dynamic joint rotations in perturbed and unperturbed conditions.

The simultaneous modulation of joint torque and stiffness enables humans to perform large repertoires of movements, while versatilely adapting to exte...

Force-Sensorless Identification and Classification of Tissue Biomechanical Parameters for Robot-Assisted Palpation.

The implementation of robotic systems for minimally invasive surgery and medical procedures is an active topic of research in recent years. One of the...

Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network.

Intention recognition based on surface electromyography (sEMG) signals is pivotal in human-machine interaction (HMI), where continuous motion estimati...

Structural Optimisation and Design of a Cable-Driven Hyper-Redundant Manipulator for Confined Semi-Structured Environments.

Structural optimisation of robotic manipulators is critical for any manipulator used in confined semi-structured environments, such as in agriculture....

Temporomandibular joint segmentation in MRI images using deep learning.

OBJECTIVES: Temporomandibular joint (TMJ) internal derangements (ID) represent the most prevalent temporomandibular joint disorder (TMD) in the popula...

Effect of AI-assisted software on inter- and intra-observer variability for the X-ray bone age assessment of preschool children.

BACKGROUND: With the rapid development of deep learning algorithms and the rapid improvement of computer hardware in the past few years, AI-assisted d...

Percutaneous Fixation of Levine-Edwards Type II Hangman's Fractures Under the Guidance of an Orthopedic Robot.

There is no consensus regarding the optimal treatment for unstable hangman's fractures. Conservative treatment, although time-consuming and associated...

Invertible Neural BRDF for Object Inverse Rendering.

We introduce a novel neural network-based BRDF model and a Bayesian framework for object inverse rendering, i.e., joint estimation of reflectance and ...

Adaptive variable impedance position/force tracking control of fracture reduction robot.

BACKGROUND: The operation object of robot-assisted fracture reduction surgery is the musculoskeletal tissue with rigid-compliance coupling characteris...

Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.

Deep convolutional neural networks (DCNN) achieve very high accuracy in segmenting various anatomical structures in medical images but often suffer fr...

Intelligent robot-assisted minimally invasive reduction system for reduction of unstable pelvic fractures.

OBJECTIVE: Currently, minimally invasive internal fixation is recommended for the surgical treatment of unstable pelvic fractures. The premise and dif...

Deep learning application of the discrimination of bone marrow aspiration cells in patients with myelodysplastic syndromes.

Myelodysplastic syndromes (MDS) are a group of hematologic neoplasms accompanied by dysplasia of the bone marrow hematopoietic cells with cytopenia. D...

Age prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images.

Otoliths (ear-stones) in the inner ears of vertebrates containing visible year zones are used extensively to determine fish age. Analysis of otoliths ...

Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery.

Multi-perspective region-based CNNs for vertebrae labeling in intraoperative long-length images.

PURPOSE: Effective aggregation of intraoperative x-ray images that capture the patient anatomy from multiple view-angles has the potential to enable a...

Modular Bioinspired Hand with Multijoint Rigid-Soft Finger Possessing Proprioception.

Soft robot hands have the advantage of remarkable adaptability for grasping. Especially for the soft and fragile objects, soft fingers had presented t...

Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability.

Background Deep learning (DL)-based MRI reconstructions can reduce examination times for turbo spin-echo (TSE) acquisitions. Studies that prospectivel...