Orthopedics

An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control.

Individuals who suffer from severe paralysis often lose the capacity to perform fundamental body mov...

Letter to the Editor "Assessing ChatGPT's Potential: A Critical Analysis and Future Directions in Total Joint Arthroplasty".

Letter to the Editor "Utility of ChatGPT in Total Joint Arthroplasty".

Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based Image Reconstruction at 3T.

OBJECTIVES: To evaluate whether combining fast acquisitions with deep-learning reconstruction can pr...

Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI.

STUDY DESIGN: In vivo retrospective study of fully automatic quantitative imaging feature extraction...

Validation of an artificial intelligence-based method to automate Cobb angle measurement on spinal radiographs of children with adolescent idiopathic scoliosis.

BACKGROUND: Accurately measuring the Cobb angle on radiographs is crucial for diagnosis and treatmen...

Reply: Deep Learning on Bone Scintigraphy.

Deep Learning on Bone Scintigraphy.

Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes.

OBJECTIVES: Knee joint distraction (KJD) has been associated with clinical and structural improvemen...

ZetaDesign: an end-to-end deep learning method for protein sequence design and side-chain packing.

Computational protein design has been demonstrated to be the most powerful tool in the last few year...

An Attention-based Bidirectional LSTM Model for Continuous Cross-Subject Estimation of Knee Joint Angle during Running from sEMG Signals.

Accurate and robust estimation of joint kinematics via surface electromyogram (sEMG) signals provide...

Evaluating the effectiveness of an active strap for wearable robot: A Mechanical and Physiological Study.

Straps are the most commonly used elements in the wearable robotic field, where it is employed as a ...

Opportunities and challenges for robotic-assisted spine surgery: feasible indications for the MAZOR™ X Stealth Edition.

The clinical use of new technologies has several potential benefits including improved accuracy, pre...

Real-Time-Capable Muscle Force Estimation for Monitoring Robotic Rehabilitation Therapy in the Intensive Care Unit.

In this paper, a method is proposed to enable real-time monitoring of muscle forces during robotic r...

Deep Learning Segmentation of Lower Extremities Radiographs for an Automatic Leg Length Discrepancy Measurement.

Leg length measurement is relevant for the early diagnostic and treatment of discrepancies as they a...

Robotic versus nonrobotic sacroiliac joint fusion.

OBJECTIVE: Robot-assisted pedicle screw placement in spinal fusion has been well studied. However, f...

Optical Disc Segmentation from Retinal Fundus Images Using Deep Learning.

The optical disc in the human retina can reveal important information about a person's health and we...

A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images.

In this work, we propose a multi-task learning-based approach towards the localization of optic disc...

Bone age assessment from articular surface and epiphysis using deep neural networks.

Bone age assessment is of great significance to genetic diagnosis and endocrine diseases. Traditiona...

Surgical classification using natural language processing of informed consent forms in spine surgery.

OBJECTIVE: In clinical spine surgery research, manually reviewing surgical forms to categorize patie...

[Treatment of stage Ⅱ-Ⅲ Kümmell disease with robot-assisted bone cement-augmented pedicle screw fixation].

OBJECTIVE: To evaluate the early clinical efficacy of robot-assisted percutaneous short-segment bone...