Orthopedics

Letter to the Editor: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

[Deep learning indications for high tibial osteotomy].

High tibial osteotomy (HTO) is an effective treatment for knee osteoarthritis. With the application of bi-planer open wedge osteotomy high tibial osteotomy and new angular stable locking plates, HTO has become more accuracy, minimally invasive and standard, achieved satisfactory long-term treatment outcome. The indications of HTO are expanding. We need to comprehensively consider whether the patie...

Robot-Assisted Cortical Bone Trajectory Insertion of Pedicle Screws: 2-Dimensional Operative Video.

Robot-assisted pedicle screw insertion has been slowly gaining popularity in the spine surgery community. In previous studies, robotics has been shown...

Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography.

PURPOSE: The purpose of this study was to validate the accuracy of an artificial intelligence (AI) prototype application in determining bone mineral d...

Self-Contained Neuromusculoskeletal Arm Prostheses.

We report the use of a bone-anchored, self-contained robotic arm with both sensory and motor components over 3 to 7 years in four patients after trans...

Examining joint attention with the use of humanoid robots-A new approach to study fundamental mechanisms of social cognition.

This article reviews methods to investigate joint attention and highlights the benefits of new methodological approaches that make use of the most rec...

Let's "recall" sensitivity and specificity: Letter to the Editor regarding Gowd et al: "Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty".

[A review on multi-modal human motion representation recognition and its application in orthopedic rehabilitation training].

Human motion recognition (HAR) is the technological base of intelligent medical treatment, sports training, video monitoring and many other fields, an...

Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-learning algorithm that utilizes both anteroposteri...

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier.

To assess whether application of a support vector machine learning algorithm to ancillary data obtained from posterior-anterior dual-energy X-ray abso...

A Robot-Based Play-Drama Intervention May Improve the Joint Attention and Functional Play Behaviors of Chinese-Speaking Preschoolers with Autism Spectrum Disorder: A Pilot Study.

Children with autism spectrum disorder (ASD) have deficits in joint attention and play behaviors. We examined whether a robot-based play-drama interve...

Artificial intelligence for detection of optic disc abnormalities.

PURPOSE OF REVIEW: The aim of this review is to highlight novel artificial intelligence-based methods for the detection of optic disc abnormalities, w...

Research Progress and Prospect of Machine Learning in Bone Age Assessment.

Bone age assessment has always been one of the key issues and difficulties in forensic science. With the gradual development of machine learning in ma...

A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation.

Total shoulder arthroplasty (TSA) is an effective treatment for glenohumeral (GH) osteoarthritis. However, it still suffers from a substantial rate of...

Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain.

Early detection of patients with chronic diseases at risk of developing persistent pain is clinically desirable for timely initiation of multimodal th...

Feasibility of supplemental robot-assisted knee flexion exercise following total knee arthroplasty.

BACKGROUND: The Hybrid Assistive Limb (HAL) is a robotic exoskeleton designed to support impaired limbs.

Knee Meniscus Segmentation and Tear Detection from MRI: A Review.

BACKGROUND: Automatic diagnostic systems in medical imaging provide useful information to support radiologists and other relevant experts. The systems...

Diagnosis of Glaucoma on Retinal Fundus Images Using Deep Learning: Detection of Nerve Fiber Layer Defect and Optic Disc Analysis.

Early detection of glaucoma is important to slow down progression of the disease and to prevent total vision loss. Retinal fundus photography is frequ...

3D Cascaded Convolutional Networks for Multi-vertebrae Segmentation.

BACKGROUND: Automatic approach to vertebrae segmentation from computed tomography (CT) images is very important in clinical applications. As the intri...

Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis.

With the continuous development of artificial intelligence (AI) technology, big data-supported AI technology with considerable computer and learning c...