Orthopedics

A Semi-passive Planar Manipulandum for Upper-Extremity Rehabilitation.

Robotic rehabilitation is a promising approach to treat individuals with neurological or orthopedic disorders. However, despite significant advancements in the field of rehabilitation robotics, this technology has found limited traction in clinical practice. A key reason for this issue is that most robots are expensive, bulky, and not scalable for in-home rehabilitation. Here, we introduce a semi-...

Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

RATIONALE AND OBJECTIVES: To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four health systems.

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry.

Purpose To analyze how automatic segmentation translates in accuracy and precision to morphology and relaxometry compared with manual segmentation and...

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm.

Background and purpose - We aimed to evaluate the ability of artificial intelligence (a deep learning algorithm) to detect and classify proximal humer...

Effectiveness of Superficial Radial Nerve Block on Pain, Function and Quality of Life in Patients With Hand Osteoarthritis: A Prospective, Randomized and Controlled Single-Blind Study.

OBJECTIVES: This study aims to investigate the effects of ultrasound-guided superficial branch of the radial nerve block on pain, function and quality...

Robotically-driven orthoses exert proximal-to-distal differential recovery on the lower limbs in children with hemiplegia, early after acquired brain injury.

Robotically-driven orthoses (RDO) are promising for treating gait impairment in children with hemiplegia after acquired brain injury (ABI). Despite th...

Spine morphology and energetics: how principles from nature apply to robotics.

Inspired by the locomotive advantages that an articulated spine enables in quadrupedal animals, we explore and quantify the energetic effect that an a...

Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

OBJECTIVE: To present a novel method for automated segmentation of knee menisci from MRIs. To evaluate quantitative meniscal biomarkers for osteoarthr...

A computer vision-based system for monitoring Vojta therapy.

A neurological illness is t he disorder in human nervous system that can result in various diseases including the motor disabilities. Neurological dis...

[Automated Assessment for Bone Age of Left Wrist Joint in Uyghur Teenagers by Deep Learning].

OBJECTIVES: To realize the automated bone age assessment by applying deep learning to digital radiography （DR） image recognition of left wrist joint i...

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.

Traditionally, medical discoveries are made by observing associations, making hypotheses from them and then designing and running experiments to test ...

Robotics in Orthopedics: A Brave New World.

Future health-care projection projects a significant growth in population by 2020. Health care has seen an exponential growth in technology to address...

Tranexamic acid administration for anatomic and reverse total shoulder arthroplasty: a systematic review and meta-analysis.

BACKGROUND: Tranexamic acid (TXA) has been shown to reduce perioperative blood loss and risk of blood transfusion. Evidence establishing its efficacy ...

Manifold regularized matrix completion for multi-label learning with ADMM.

Multi-label learning is a common machine learning problem arising from numerous real-world applications in diverse fields, e.g, natural language proce...

Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.

Phase contrast X-ray computed tomography (PCI-CT) has been demonstrated to be effective for visualization of the human cartilage matrix at micrometer ...

Self-learning computers for surgical planning and prediction of postoperative alignment.

PURPOSE: In past decades, the role of sagittal alignment has been widely demonstrated in the setting of spinal conditions. As several parameters can b...

Tranexamic acid reduces blood loss after primary shoulder arthroplasty: a double-blind, placebo-controlled, prospective, randomized controlled trial.

BACKGROUND: Tranexamic acid (TXA) is an antifibrinolytic that has been shown to decrease blood loss and transfusion rates after hip and knee arthropla...

Letter to the Editor concerning "Robot-assisted and conventional freehand pedicle screw placement: a systematic review and meta-analysis of randomized controlled trials" by Gao ST et al. (Eur Spine J; 2017. DOI 10.1007/s00586-017-5333-y).

Assessment of cortical bone fracture resistance curves by fusing artificial neural networks and linear regression.

Bone injures (BI) represents one of the major health problems, together with cancer and cardiovascular diseases. Assessment of the risks associated wi...

Answer to the Letter to the Editor of Qi Sun et al. concerning "Robot-assisted and conventional freehand pedicle screw placement: a systematic review and meta-analysis of randomized controlled trials" by Gao ST, et al. (Eur Spine J; 2017: DOI 10.1007/s00586-017-5333-y).