Orthopedics

Convolutional Neural Networks in Spinal Magnetic Resonance Imaging: A Systematic Review.

OBJECTIVE: Convolutional neural networks (CNNs) are being increasingly used in the medical field, especially for image recognition in high-resolution, large-volume data sets. The study represents the current state of research on the application of CNNs in image segmentation and pathology detection in spine magnetic resonance imaging.

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network.

Morphological and diagnostic evaluation of pediatric musculoskeletal system is crucial in clinical practice. However, most segmentation models do not perform well on scarce pediatric imaging data. We propose a new pre-trained regularized convolutional encoder-decoder network for the challenging task of segmenting heterogeneous pediatric magnetic resonance (MR) images. To this end, we have conceive...

Research hotspots and emerging trends of deep learning applications in orthopedics: A bibliometric and visualized study.

BACKGROUND: As a research hotspot, deep learning has been continuously combined with various research fields in medicine. Recently, there is a growing...

Robotics in spine surgery: systematic review of literature.

PURPOSE: Over 4.83 million spine surgery procedures are performed annually around the world. With the considerable caseload and the precision needed t...

Early Clinical and Radiographic Outcomes of Robot-Assisted Versus Conventional Manual Total Knee Arthroplasty: A Randomized Controlled Study.

OBJECTIVE: Robot-assisted surgery has been promoted worldwide in recent years. The development of a domestic orthopaedic robot and its clinical applic...

Development and Clinical Evaluation of a Novel Foot Stretching Robot That Simultaneously Stretches Plantar Fascia and Achilles Tendon for Treatment of Plantar Fasciitis.

OBJECTIVE: This paper presents the development and clinical evaluation of a foot stretching robot that simultaneously stretches the plantar fascia and...

CORR Insights®: Machine-learning Models Predict 30-day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.

Explainable Deep Learning Model for EMG-Based Finger Angle Estimation Using Attention.

Electromyography (EMG) is one of the most common methods to detect muscle activities and intentions. However, it has been difficult to estimate accura...

Development and external validation of predictive algorithms for six-week mortality in spinal metastasis using 4,304 patients from five institutions.

BACKGROUND CONTEXT: Historically, spine surgeons used expected postoperative survival of 3-months to help select candidates for operative intervention...

Deep learning with multiresolution handcrafted features for brain MRI segmentation.

The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo computed tomography (CT) images which are used to achieve pos...

External validation of the deep learning system "SpineNet" for grading radiological features of degeneration on MRIs of the lumbar spine.

BACKGROUND: Magnetic resonance imaging (MRI) is used to detect degenerative changes of the lumbar spine. SpineNet (SN), a computer vision-based system...

Biomechanics of Volleyball Players' Run-Up and Take-Off Link under Deep Learning.

In volleyball, the correct approach and start (including the number of steps and stride speed) are a prerequisite for all technical movements to attac...

Artificial intelligence, big data and precision spine care: a trend or the holy grail?

Bone segmentation in contrast enhanced whole-body computed tomography.

Segmentation of bone regions allows for enhanced diagnostics, disease characterisation and treatment monitoring in CT imaging. In contrast enhanced wh...

Effect of process parameters on the temperature changes during robotic bone drilling.

In medical surgery, bone drilling is an inevitable procedure. The thermal necrosis in the drilling process can affect post-operative recovery. In this...

Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs.

Joint effusion due to elbow fractures are common among adults and children. Radiography is the most commonly used imaging procedure to diagnose elbow ...

Pedicle Screw Placement in Adolescent Idiopathic Scoliosis: A Comparison between Robotics Coupled with Navigation versus the Freehand Technique.

(1) Background: Robotics coupled with navigation (RAN) is a modern surgical platform shown to increase screw placement accuracy during pediatric scoli...

Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.

BACKGROUND AND OBJECTIVE: Leukemia represents 30% of all pediatric cancers and is considered the most common malignancy affecting adults and children....

Full Soft Capacitive Omnidirectional Tactile Sensor Based on Micro-Spines Electrode and Hemispheric Dielectric Structure.

Flourishing in recent years, intelligent electronics is desirably pursued in many fields including bio-symbiotic, human physiology regulatory, robot o...

Cold ablation robot-guided laser osteotomy in hand, wrist and forearm surgery-A feasibility study.

INTRODUCTION: Traditional bone surgery using saws and chisels is associated with direct contact of instruments with the bone causing friction, heat an...