AIMC Topic: Radiography

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Web-based fully automated cephalometric analysis by deep learning.

Computer methods and programs in biomedicine May 6, 2020
BACKGROUND AND OBJECTIVE: An accurate lateral cephalometric analysis is vital in orthodontic diagnosis. Identification of anatomic landmarks on lateral cephalograms is tedious, and errors may occur depending on the doctor's experience. Several attemp...
Anatomic Landmarks Cephalometry Internet Deep Learning Radiography
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Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.

European radiology Apr 29, 2020
OBJECTIVES: To investigate the optimal input matrix size for deep learning-based computer-aided detection (CAD) of nodules and masses on chest radiographs.
Radiography, Thoracic Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Male Humans Precancerous Conditions Middle Aged Neural Networks, Computer Lung Retrospective Studies Female Aged Solitary Pulmonary Nodule Radiography
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Medical Imaging and Privacy in the Era of Artificial Intelligence: Myth, Fallacy, and the Future.

Journal of the American College of Radiology : JACR Apr 28, 2020
Forecasting Privacy Artificial Intelligence Radiography Diagnostic Imaging
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A convolutional neural network to detect scoliosis treatment in radiographs.

International journal of computer assisted radiology and surgery Apr 26, 2020
PURPOSE: The aim of this work is to propose a classification algorithm to automatically detect treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such automatic labelling of radiographs could represent a step to...
Databases, Factual Adolescent Radiography Prostheses and Implants Humans Neural Networks, Computer Algorithms Braces Spine Image Interpretation, Computer-Assisted Scoliosis
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Development of automatic measurement for patellar height based on deep learning and knee radiographs.

European radiology Apr 23, 2020
OBJECTIVES: To develop and evaluate the performance of a deep learning-based system for automatic patellar height measurements using knee radiographs.
Osteoarthritis, Knee Female Deep Learning Patella Aged Radiography Humans Male Young Adult Aged, 80 and over Knee Joint Algorithms Middle Aged Adult
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Modernization of bone age assessment: comparing the accuracy and reliability of an artificial intelligence algorithm and shorthand bone age to Greulich and Pyle.

Skeletal radiology Apr 23, 2020
UNLABELLED: Greulich and Pyle (GP) is one of the most common methods to determine bone age from hand radiographs. In recent years, new methods were developed to increase the efficiency in bone age analysis like the shorthand bone age (SBA) and automa...
Humans Artificial Intelligence Male Female Age Determination by Skeleton Radiography Reproducibility of Results Shorthand
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Robot-assisted treatment of unstable pelvic fractures with a percutaneous iliac lumbar double rod fixation combined with a percutaneous pelvic anterior ring INFIX fixation.

International orthopaedics Apr 21, 2020
OBJECTIVE: To investigate the clinical effect of robot-assisted treatment of unstable pelvic fractures through a percutaneous iliac lumbar double rod fixation combined with a percutaneous pelvic anterior ring INFIX (internal fixator) fixation.
Orthopedics Young Adult Internal Fixators Adult Pelvic Bones Male Pelvis Humans Bone Screws Fractures, Bone Retrospective Studies Prospective Studies Lumbosacral Region Female Fracture Fixation, Internal Robotics Aged Middle Aged Operative Time Radiography China Robotic Surgical Procedures Treatment Outcome
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The Potential Dangers of Artificial Intelligence for Radiology and Radiologists.

Journal of the American College of Radiology : JACR Apr 17, 2020
Radiology Humans Radiologists Artificial Intelligence Radiography
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Detection of hip osteoarthritis by using plain pelvic radiographs with deep learning methods.

Skeletal radiology Apr 4, 2020
OBJECTIVE: The incidence of osteoarthritis is gradually increasing in public due to aging and increase in obesity. Various imaging methods are used in the diagnosis of hip osteoarthritis, and plain pelvic radiography is the first preferred imaging me...
Humans Deep Learning Radiography Neural Networks, Computer Retrospective Studies Osteoarthritis, Hip
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Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.

Medical oncology (Northwood, London, England) Apr 3, 2020
Artificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice of physicians across the world. Radiology has a strong affinity for machine learning and is at the forefront of the paradigm shift, as machines compete ...
Radiography Machine Learning Humans Forecasting Radiologists Artificial Intelligence Radiology, Interventional Deep Learning Practice Patterns, Physicians' Physician's Role
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