Orthopedics

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

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Showing 2857-2877 of 5,212 articles
Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery.

As the use of machine learning algorithms in the development of clinical prediction models has incre...

Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis.

Bone scintigraphy (BS) is one of the most frequently utilized diagnostic techniques in detecting can...

Prediction of ground reaction force and joint moments based on optical motion capture data during gait.

The standard camera- and force plate-based set-up for motion analysis suffers from the disadvantage ...

Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography.

BACKGROUND: It is necessary to consider myopic optic disc tilt as it seriously impacts normal ocular...

Computer-Aided Fracture Size Measurement in Orbital Fractures-An Alternative to Manual Evaluation.

OBJECTIVE: We aimed to present a novel semiautomated tool for orbital fracture size measurement and ...

Artificial intelligence and surgical innovation: lower limb arthroplasty.

The number of patients requiring hip and knee arthroplasty continues to rise each year. Patients are...

Ovoid Foramen Magnum Shape is Associated with Increased Complications and Decreased Extent of Resection for Anterolateral Foramen Magnum Meningiomas.

 Antero-laterally located meningiomas of the foramen magnum (FM) pose significant surgical resectio...

Evaluation of jaw bone density and morphology in bruxers using panoramic radiography.

BACKGROUND/PURPOSE: Bruxism affects the stomatognathic system and causes tissue damage by the excess...

Important Tools for Use by Pediatric Endocrinologists in the Assessment of Short Stature.

Assessment and management of children with growth failure has improved greatly over recent years. Ho...

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks.

OBJECTIVE: To explore the application of deep learning in patients with primary osteoporosis, and to...

Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018.

IMPORTANCE: The loss of the physiologic cervical lordotic curve is a common degenerative disorder kn...

Recognition of Non-Manual Content in Continuous Japanese Sign Language.

The quality of recognition systems for continuous utterances in signed languages could be largely ad...

Deep-learning-based enhanced optic-disc photography.

Optic-disc photography (ODP) has proven to be very useful for optic nerve evaluation in glaucoma. In...

Improving Quantitative Magnetic Resonance Imaging Using Deep Learning.

Deep learning methods have shown promising results for accelerating quantitative musculoskeletal (MS...

The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.

Automated semantic segmentation of multiple knee joint tissues is desirable to allow faster and more...

Bone age assessment based on deep convolution neural network incorporated with segmentation.

PURPOSE: Bone age assessment is not only an important means of assessing maturity of adolescents, bu...

The impact of robot-assisted spine surgeries on clinical outcomes: A systemic review and meta-analysis.

BACKGROUND: Medical robotics has enabled a significant advancement in the field of modern spine surg...

Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors.

Quantitative assessments of patient movement quality in osteoarthritis (OA), specifically spatiotemp...

Automated rotator cuff tear classification using 3D convolutional neural network.

Rotator cuff tear (RCT) is one of the most common shoulder injuries. When diagnosing RCT, skilled or...

Safety and accuracy of robot-assisted placement of pedicle screws compared to conventional free-hand technique: a systematic review and meta-analysis.

BACKGROUND CONTEXT: The introduction and integration of robot technology into modern spine surgery p...

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