Orthopedics

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

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Showing 2752-2772 of 5,212 articles
Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs.

BACKGROUND: Identification of vertebral fractures (VFs) is critical for effective secondary fracture...

Robot-Aided Training of Propulsion During Walking: Effects of Torque Pulses Applied to the Hip and Knee Joints During Stance.

We sought to evaluate the effects of the application of torque pulses to the hip and knee joint via ...

Deep learning for early detection of pathological changes in X-ray bone microstructures: case of osteoarthritis.

Texture features are designed to quantitatively evaluate patterns of spatial distribution of image p...

SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers.

New medical research concerning the spine and its diseases are incrementally made available through ...

MINARO HD: control and evaluation of a handheld, highly dynamic surgical robot.

PURPOSE: Current surgical robotic systems are either large serial arms, resulting in higher risks du...

An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT.

Admission trauma whole-body CT is routinely employed as a first-line diagnostic tool for characteriz...

Sarcoma classification by DNA methylation profiling.

Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They...

Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment.

Bone age assessments are a complicated and lengthy process, which are prone to inter- and intra-obse...

The Feature Ambiguity Mitigate Operator model helps improve bone fracture detection on X-ray radiograph.

This study was performed to propose a method, the Feature Ambiguity Mitigate Operator (FAMO) model, ...

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.

Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imag...

Ultrasound volume projection image quality selection by ranking from convolutional RankNet.

Periodic inspection and assessment are important for scoliosis patients. 3D ultrasound imaging has b...

Total knee arthroplasty: Latest robotics implantation techniques.

The recent introduction of new robotic systems for total knee arthroplasty (TKA) has created somewha...

Estimation of kinematics from inertial measurement units using a combined deep learning and optimization framework.

The difficulty of estimating joint kinematics remains a critical barrier toward widespread use of in...

Robot-assisted technique vs conventional freehand technique in spine surgery: A meta-analysis.

BACKGROUND: The impact of robot-assisted techniques versus conventional freehand techniques in terms...

Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT.

OBJECTIVE: Diagnosis of otosclerosis on temporal bone CT images is often difficult because the imagi...

Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models.

Many compounds affect the cellularity of hematolymphoid organs including bone marrow. Toxicologic pa...

Osteoarthritis year in review 2020: imaging.

This narrative "Year in Review" highlights a selection of articles published between January 2019 an...

A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction.

With the rapid development of sensor and information technology, now multisensor data relating to th...

Analysis of forces during robot-assisted and manual manipulations of mobile and fixed footplate in temporal bone specimens.

PURPOSE: To evaluate the forces involved in different manipulations, manual or robot-assisted, appli...

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