Orthopedics

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

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Automated measurements of interscrew angles in vertebral body tethering patients with deep learning.

BACKGROUND CONTEXT: Vertebral body tethering is the most popular nonfusion treatment for adolescent ...

THA-AID: Deep Learning Tool for Total Hip Arthroplasty Automatic Implant Detection With Uncertainty and Outlier Quantification.

BACKGROUND: Revision total hip arthroplasty (THA) requires preoperatively identifying in situ implan...

AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images.

In clinical medicine, localization and identification of disease on spinal radiographs are difficult...

Embryonic cranial cartilage defects in the Fgfr3 mouse model of achondroplasia.

Achondroplasia, the most common chondrodysplasia in humans, is caused by one of two gain of function...

An artificial intelligence model for the radiographic diagnosis of osteoarthritis of the temporomandibular joint.

The interpretation of the signs of Temporomandibular joint (TMJ) osteoarthritis on cone-beam compute...

Osteoporosis in Adrenal Insufficiency: Could Metformin be Protective?

Adrenal insufficiency (AI) is a serious disorder characterized by the adrenal glucocorticoid deficie...

Automated bone marrow cell classification through dual attention gates dense neural networks.

PURPOSE: The morphology of bone marrow cells is essential in identifying malignant hematological dis...

Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs.

BACKGROUND: Pediatric fractures are challenging to identify given the different response of the pedi...

No Benefit of Robotic-Assisted over Computer-Assisted Surgery for Achieving Neutral Coronal Alignment in Total Knee Arthroplasty.

The use of robotic-assisted surgery (RAS) in total knee arthroplasty (TKA) is becoming increasingly ...

Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging.

Isthmic spondylolysis results in fracture of pars interarticularis of the lumbar spine, found in as ...

Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.

UNLABELLED: While FRAX with BMD could be more precise in estimating the fracture risk, DL-based mode...

Forming We-intentions under breakdown situations in human-robot interactions.

BACKGROUND AND OBJECTIVE: When agents (e.g. a person and a social robot) perform a joint activity to...

Adaptive neural network control for Markov jumping systems against deception attacks.

This paper proposes an innovative approach for mitigating the effects of deception attacks in Markov...

Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Mineral Density Assessment From Low-Dose Chest Computed Tomography.

RATIONALE AND OBJECTIVES: To develop an intelligent diagnostic model for osteoporosis screening base...

Machine Learning in Spine Surgery: A Narrative Review.

Artificial intelligence and machine learning (ML) can offer revolutionary advances in their applicat...

Three-dimensional CT imaging in extensor tendons using deep learning reconstruction: optimal reconstruction parameters and the influence of dose.

The purpose of this study was to assess the optimal reconstruction parameters and the influence of t...

Perioperative safety and efficacy of robot-assisted total hip arthroplasty in ERAS-managed patients: a pilot study.

AIMS: Robot-assisted total hip arthroplasty (rTHA) boasts superior accuracy in implant placement, bu...

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