Orthopedics

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

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Treatment of the hook of hamate fracture with robot navigation: A note on technique.

OBJECTIVE: The aim of this study was to demonstrate a new robotic technique for the fixation of the ...

[Feasibility and Clinical Benefit of Robot-assisted Minimally Invasive Direct Coronary Artery Bypass Surgery].

In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harves...

Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method.

PURPOSE: To evaluate the applicability of Greulich-Pyle (GP) standards to bone age (BA) assessment i...

A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration.

We used surgery durations, patient demographic and personnel data taken from the East Kent Hospitals...

Parkland Trauma Index of Mortality: Real-Time Predictive Model for Trauma Patients.

OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techn...

[Arthroscopic-assisted fracture reduction combined with robot-navigated nail placement to treat talar neck fractures].

This study aims to explore the clinical efficacy of arthroscopic-assisted reduction combined with ro...

[Meta-analysis of leg length discrepancy after robot-assisted and traditional total hip arthroplasty].

OBJECTIVE: To systematically evaluate the difference in leg length discrepancy (LLD) between robot-a...

[Short-term effectiveness of MAKO robot assisted complex total hip arthroplasty].

OBJECTIVE: To investigate the short-term effectiveness of MAKO robot assisted complex total hip arth...

Optical bone densitometry robust to variation of soft tissue using machine learning techniques: validation by Monte Carlo simulation.

SIGNIFICANCE: To achieve early detection of osteoporosis, a simple bone densitometry method using op...

Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy.

Owing to the general disadvantages of traditional neural networks in gas concentration inversion, su...

Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm.

OBJECTIVE: Damage to the thoracolumbar spine can confer significant morbidity and mortality. The Tho...

[Core Architecture and Clinical Application of Orthopedic Robot Based on Human-like Thinking].

Intelligent and precision medical treatment is the future development trend of surgical operations. ...

Editorial Commentary: Big Data and Machine Learning in Medicine.

Recent research using machine learning and data mining to determine predictors of prolonged opioid u...

Bone and Soft Tissue Tumors: Horizons in Radiomics and Artificial Intelligence.

AI can improve the quality of CT, MR and PET/CT images, while simultaneously reducing imaging time, ...

Robotic-Assisted Lumbar Fusion: An Effective Technique for Pedicle Screw Placement.

Degenerative lumbar disease is a common condition in which progressive deterioration of the structur...

The State of Machine Learning in Spine Surgery: A Systematic Review.

STUDY DESIGN: This was a systematic review of existing literature.

[Application of spinal surgical robots in minimally invasive surgery for thoracolumbar fracture].

OBJECTIVE: To evaluate the safety and accuracy of Renaissance robot navigation system in minimally i...

[Accuracy and safety of robot assisted pedicle screw placement].

OBJECTIVE: To investigate the accuracy and safety of pedicle screw placement assisted by orthopedic ...

[Management of the nondisplaced type Herbert D1 scaphoid fracture with robot navigation combined with wrist arthroscopy].

To investigate the feasibility and the clinical efficiency of robot navigation combined with wrist a...

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