Orthopedics

Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy?

BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the postoperative period after spine surgery. Current tools for surveillance of these adverse events rely on prospective clinical tracking, manual retrospective chart review, or administrative procedural and diagnosis codes.

A Single-Joint Implementation of Flow Control: Knee Joint Walking Assistance for Individuals With Mobility Impairment.

This paper describes the implementation of a movement control method for lower limb exoskeletons with single-joint actuation. In such applications, the single-joint must coordinate movement with other non-controlled joints. The authors have previously proposed a multi-joint control method called a flow controller, which provides several desirable characteristics for such assistance. In this paper,...

Alendronate/Vitamin D for attenuating bone mineral density loss during antiretroviral initiation: a pilot randomized controlled trial.

Antiretroviral therapy (ART) initiation is associated with decreases in bone mineral density (BMD). To plan for a larger trial, we sought to obtain p...

Biarticular muscles in light of template models, experiments and robotics: a review.

Leg morphology is an important outcome of evolution. A remarkable morphological leg feature is the existence of biarticular muscles that span adjacent...

Robot-assisted arm training for treating adult patients with distal radius fracture: a proof-of-concept pilot study.

BACKGROUND: Fracture of the distal radius is a common wrist injury. As to its management after orthopedic (conservative or surgical) treatment, there ...

Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness...

A Classification Method of Oracle Materials Based on Local Convolutional Neural Network Framework.

The classification of materials of oracle bone is one of the most basic aspects for oracle bone morphology. However, the classification method dependi...

Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In this study, a deep learning-based system was develop...

[The value of artificial and human intelligence - the example of bone scintigraphy].

We present a possible method of Artificial Intelligence (AI) based applications that can effectively filter noise-sensitive bone scintigraphy images. ...

Alginate fiber toughened gels similar to skin intelligence as ionic sensors.

The stretchable hydrogels provide potential alternatives to bionic skins. However, skin simulation remains seriously challenging due to its complex na...

Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.

OBJECTIVES: To investigate whether a deep learning model can predict the bone mineral density (BMD) of lumbar vertebrae from unenhanced abdominal comp...

Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network.

Identifying the design of a failed implant is a key step in the preoperative planning of revision total joint arthroplasty. Manual identification of t...

Decoding rejuvenating effects of mechanical loading on skeletal aging using in vivo μCT imaging and deep learning.

Throughout the process of aging, dynamic changes of bone material, micro- and macro-architecture result in a loss of strength and therefore in an incr...

Ga-PSMA PET/CT versus CT and bone scan for investigation of PSA failure post radical prostatectomy.

OBJECTIVE: To evaluate the use of Gallium-68 prostate-specific membrane antigen positron emission tomography/computed tomography (Ga-PSMA PET/CT), com...

Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period.

OBJECTIVE: To develop and evaluate deep learning (DL) risk assessment models for predicting the progression of radiographic medial joint space loss us...

The Impact of ACL Laxity on a Bicondylar Robotic Knee and Implications in Human Joint Biomechanics.

OBJECTIVE: Elucidating the role of structural mechanisms in the knee can improve joint surgeries, rehabilitation, and understanding of biped locomotio...

Radiomics for classification of bone mineral loss: A machine learning study.

PURPOSE: The purpose of this study was to develop predictive models to classify osteoporosis, osteopenia and normal patients using radiomics and machi...

Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs.

Background A multitask deep learning model might be useful in large epidemiologic studies wherein detailed structural assessment of osteoarthritis sti...

A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature.

Recently joint modeling methods of entity and relation exhibit more promising results than traditional pipelined methods in general domain. However, t...

Compact Series Visco-Elastic Joint (SVEJ) for Smooth Torque Control.

The design and control of a new series-viscous-elastic joint are presented. The proposed joint consists of 3D printed parts compressing nonlinear elas...