Orthopedics

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

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Showing 2878-2898 of 5,220 articles
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...

The utility of a deep learning-based algorithm for bone scintigraphy in patient with prostate cancer.

OBJECTIVE: Bone scintigraphy has often been used to evaluate bone metastases. Its functionality is e...

Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning.

Many diseases have no visual cues in the early stages, eluding image-based detection. Today, osteoar...

Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.

OBJECTIVES: Body tissue composition is a long-known biomarker with high diagnostic and prognostic va...

Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review.

PURPOSE: To (1) determine the diagnostic efficacy of artificial intelligence (AI) methods for detect...

Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques.

BACKGROUND: Classification of the type of calcaneal fracture on CT images is essential in driving tr...

Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation o...

Imaging of OA - From disease modification to clinical utility.

Multiple disease-modifying osteoarthritis drug (DMOAD) trials were done in the last two decades, but...

Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images.

PURPOSE: The purpose of this work was to evaluate the performance of X-Net, a multiview deep learnin...

Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis.

BACKGROUND: The relationship between the preoperative radiographic indices for femoroacetabular impi...

New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes.

The purpose of this article is to present how predictive machine learning methods can be utilized fo...

Indirect visual guided fracture reduction robot based on external markers.

BACKGROUND: Traditional fracture reduction surgery cannot ensure the accuracy of the reduction while...

Skeletal bone age prediction based on a deep residual network with spatial transformer.

OBJECTIVE: Bone age prediction can be performed by medical experts manually assessment of X-ray imag...

Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports.

BACKGROUND: The widespread use of electronic patient-generated health data has led to unprecedented ...

Technologic Evolution of Navigation and Robotics in Spine Surgery: A Historical Perspective.

Spine surgery is continuously evolving. The synergy between medical imaging and advances in computat...

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