Orthopedics

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 University NHS Foundation Trust (EKHUFT) over a period of 10 years (2010-2019) for a total of 25,352 patients that underwent 15 highest volume elective orthopedic surgeries, to predict future surgery durations for the subset of elective surgeries under consideration. As part of this study, we compa...

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 techniques in lieu of early definitive fracture fixation. Previous models attempted to predict mortality risk but have limited utility. There is a need for a dynamic model that captures evolving physiologic changes during a trauma patient's hospital course.

[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 robot-navigated nail placement in the treatment of t...

[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 arthroplasty (THA).

[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-assisted total hip arthroplasty (THA) and tradition...

Commentary: Machine Learning Applications of Surgical Imaging for the Diagnosis and Treatment of Spine Disorders: Current State of the Art.

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 optics was proposed. However, individual differences...

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 Thoracolumbar Injury Classification and Severity Scor...

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, such as slow training speed, sensitive learning rate...

[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. We proposed a core architecture of orthopedic robo...

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

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

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

Degenerative lumbar disease is a common condition in which progressive deterioration of the structures in the spine causes severely incapacitating pai...

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, and doses of radiation and contrast. AI can improv...

Editorial Commentary: Big Data and Machine Learning in Medicine.

Recent research using machine learning and data mining to determine predictors of prolonged opioid use after arthroscopic surgery showed that Artifici...

[A case-control study of minimally invasive transforaminal interbody fusion with the assistance of robot and traditional fluoroscopy in the treatment of single-space lumbar disc herniation].

OBJECTIVE: To compare the safety and nail placement accuracy of fluoroscopy-assisted and robot-assisted minimally invasive transforaminal lumbar inter...

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

OBJECTIVE: To investigate the accuracy and safety of pedicle screw placement assisted by orthopedic robot and C-arm fluoroscopy.

[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 invasive surgery for thoracolumbar fracture.

[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 arthroscopy in minimally invasive treatment of nond...

Invited Commentary on: Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.

[Study on parameters of robot-assisted ultrasonic drilling on bovine vertebral body].

To investigate the effect of ultrasonic parameter settings on maximum temperatures in the drilling site and penetration time and determine the most s...