Orthopedics

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

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Evaluation of ensemble strategy on the development of multiple view ankle fracture detection algorithm.

OBJECTIVE: To identify the feasibility and efficiency of deep convolutional neural networks (DCNNs) ...

Osteoarthritis year in review 2022: imaging.

PURPOSE: This narrative review summarizes original research focusing on imaging in osteoarthritis (O...

A real-time automated bone age assessment system based on the RUS-CHN method.

BACKGROUND: Bone age is the age of skeletal development and is a direct indicator of physical growth...

Moving perfusion culture and live-cell imaging from lab to disc: proof of concept toxicity assay with AI-based image analysis.

, cell-based assays are essential in diagnostics and drug development. There are ongoing efforts to ...

AggregateNet: A deep learning model for automated classification of cervical vertebrae maturation stages.

OBJECTIVE: A study of supervised automated classification of the cervical vertebrae maturation (CVM)...

A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children.

Chest radiography is the modality of choice for the identification of rib fractures in young childre...

Deep learning for automatic mandible segmentation on dental panoramic x-ray images.

Many studies in the last decades have correlated mandible bone structure with systemic diseases like...

Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning Measurements.

BACKGROUND: Leg-length discrepancy (LLD) is a critical factor in component selection and placement f...

Deep convolutional neural network-the evaluation of cervical vertebrae maturation.

OBJECTIVES: This study aimed to automatically determine the cervical vertebral maturation (CVM) proc...

Deep Neural Networks-Based Age Estimation of Cadavers Using CT Imaging of Vertebrae.

Although age estimation upon death is important in the identification of unknown cadavers for forens...

A Self-Configuring Deep Learning Network for Segmentation of Temporal Bone Anatomy in Cone-Beam CT Imaging.

OBJECTIVE: Preoperative planning for otologic or neurotologic procedures often requires manual segme...

Successful all robotic-assisted excision of highly malignant mediastinal neuroblastoma in a toddler: A case report.

An otherwise well 28-month-old girl presented with fever/left thigh pain. Computed tomography identi...

Time-varying modeling and intelligent compensation control of singletendon-sheath structure of surgical robot.

The inaccurate force and position control of tendon sheath system (TSS) due to nonlinear friction du...

A semi-autonomous robot control based on bone layer transition detection for a safe pedicle tapping.

PURPOSE: Automatic robotic platforms for robot-aided spinal surgery are mostly employed for drilling...

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