AIMC Topic: Orthopedic Surgeons

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A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Nov 24, 2022
Deep learning has a profound impact on daily life. As Orthopedics makes use of this rapid escalation in technology, Orthopedic surgeons will need to take leadership roles on deep learning projects. Moreover, surgeons must possess an understanding of ...
Humans Surgeons Orthopedics Orthopedic Surgeons Deep Learning Orthopedic Procedures
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Status of robot-assisted artificial total joint arthroplasty in China: a cross-sectional survey of joint surgeons.

International orthopaedics Nov 24, 2022
PURPOSE: The purpose of this study is to report on the use of Robotic-assisted total joint arthroplasty (RA-TJA) in China as well as the experience and expectations of Chinese doctors regarding this technology.
Cross-Sectional Studies Surveys and Questionnaires Arthroplasty, Replacement, Hip Humans Robotics Arthroplasty, Replacement Orthopedic Surgeons
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Successful real-world application of an osteoarthritis classification deep-learning model using 9210 knees-An orthopedic surgeon's view.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Jul 21, 2022
This study aimed to evaluate the performance of a deep-learning model to evaluate knee osteoarthritis using Kellgren-Lawrence grading in real-life knee radiographs. A deep convolutional neural network model was trained using 8964 knee radiographs fro...
Humans Deep Learning Orthopedic Surgeons Radiography Osteoarthritis, Knee Knee
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Deep Learning and Imaging for the Orthopaedic Surgeon: How Machines "Read" Radiographs.

The Journal of bone and joint surgery. American volume May 20, 2022
➤: In the not-so-distant future, orthopaedic surgeons will be exposed to machines that begin to automatically "read" medical imaging studies using a technology called deep learning.
Orthopedic Surgeons Magnetic Resonance Imaging Radiography Humans Tomography, X-Ray Computed Deep Learning
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Machine Learning for the Orthopaedic Surgeon: Uses and Limitations.

The Journal of bone and joint surgery. American volume Apr 5, 2022
➤: Machine learning is a subset of artificial intelligence in which computer algorithms are trained to make classifications and predictions based on patterns in data. The utilization of these techniques is rapidly expanding in the field of orthopaedi...
Prognosis Orthopedic Surgeons Artificial Intelligence Machine Learning Algorithms Humans
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Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons.

Journal of digital imaging Dec 15, 2021
In recent years, fracture image diagnosis using a convolutional neural network (CNN) has been reported. The purpose of the present study was to evaluate the ability of CNN to diagnose distal radius fractures (DRFs) using frontal and lateral wrist rad...
Orthopedic Surgeons Humans Neural Networks, Computer Deep Learning Radiography Wrist
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Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.

Acta orthopaedica Aug 12, 2020
Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are gaining interest in the medical imaging field. We evaluated the diagnostic performance of a CNN to discriminate femoral neck fractures, trochanteric f...
Hip Fractures Femur Medical Records, Problem-Oriented Orthopedic Surgeons Humans Radiography Femoral Neck Fractures Sensitivity and Specificity Outcome Assessment, Health Care Male Deep Learning Diagnosis, Computer-Assisted Neural Networks, Computer Diagnosis, Differential Female Aged, 80 and over
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Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Skeletal radiology Jun 28, 2018
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
Femoral Fractures Orthopedic Surgeons Clinical Competence Hip Fractures Sensitivity and Specificity Humans Retrospective Studies Male Neural Networks, Computer Female Aged, 80 and over Middle Aged Aged Adult
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Can ChatGPT pass the Turkish Orthopedics and Traumatology Board Examination? Turkish orthopedic surgeons versus artificial intelligence.

Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES Mar 1, 2025
BACKGROUND: Artificial intelligence has been shown to achieve successful outcomes in various orthopedic qualification examinations worldwide. This study aims to assess the performance of ChatGPT in the written section of the Turkish Orthopedics and T...
Retrospective Studies Clinical Competence Educational Measurement Humans Artificial Intelligence Orthopedics Traumatology Orthopedic Surgeons Generative Artificial Intelligence Turkey Specialty Boards
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CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?

Clinical orthopaedics and related research Jul 1, 2021
Humans Artificial Intelligence Orthopedic Surgeons Machine Learning Deep Learning Clinical Decision-Making Image Interpretation, Computer-Assisted Orthopedic Procedures
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