Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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PMotion: an advanced markerless pose estimation approach based on novel deep learning framework used to reveal neurobehavior.

The evaluation of animals' motion behavior has played a vital role in neuromuscular biomedical resea...

An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images.

Image denoising and classification are typically conducted separately and sequentially according to ...

Looking at Boundary: Siamese Densely Cooperative Fusion for Salient Object Detection.

Though deep learning-based saliency detection methods have achieved gratifying performance recently,...

A Neural Network Approach for Inertial Measurement Unit-Based Estimation of Three-Dimensional Spinal Curvature.

The spine is an important part of the human body. Thus, its curvature and shape are closely monitore...

Deep learning enhanced ultra-fast SPECT/CT bone scan in patients with suspected malignancy: quantitative assessment and clinical performance.

. To evaluate the clinical performance of deep learning-enhanced ultrafast single photon emission co...

Identification of milling status based on vibration signals using artificial intelligence in robot-assisted cervical laminectomy.

BACKGROUND: With advances in science and technology, the application of artificial intelligence in m...

Detection of incomplete atypical femoral fracture on anteroposterior radiographs via explainable artificial intelligence.

One of the key aspects of the diagnosis and treatment of atypical femoral fractures is the early det...

Initial study on an expert system for spine diseases screening using inertial measurement unit.

In recent times, widely understood spine diseases have advanced to one of the most urgetn problems w...

Learning curves for robotic-assisted spine surgery: an analysis of the time taken for screw insertion, robot setting, registration, and fluoroscopy.

PURPOSE: The purpose of this study was to clarify the learning curve for robotic-assisted spine surg...

MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T -induced blurring in spin echo sequences.

PURPOSE: An end-to-end differentiable 2D Bloch simulation is used to reduce T induced blurring in si...

Node-Loss Detection Methods for CZ Silicon Single Crystal Based on Multimodal Data Fusion.

Monocrystalline silicon is an important raw material in the semiconductor and photovoltaic industrie...

A unified hybrid transformer for joint MRI sequences super-resolution and missing data imputation.

High-resolution multi-modal magnetic resonance imaging (MRI) is crucial in clinical practice for acc...

Developing an Automated Registry (Autoregistry) of Spine Surgery Using Natural Language Processing and Health System Scale Databases.

BACKGROUND AND OBJECTIVES: Clinical registries are critical for modern surgery and underpin outcomes...

Empowering human-AI teams via Intentional Behavioral Synchrony.

As Artificial Intelligence (AI) proliferates across various sectors such as healthcare, transportati...

A Soft Hand Exoskeleton With a Novel Tendon Layout to Improve Stable Wearing in Grasping Assistance.

We present a novel soft exoskeleton providing active support for hand closing and opening. The main ...

Joint Fusion and Detection via Deep Learning in UAV-Borne Multispectral Sensing of Scatterable Landmine.

Compared with traditional mine detection methods, UAV-based measures are more suitable for the rapid...

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