AIMC Topic: Radiography

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Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.

Journal of medical imaging and radiation sciences Aug 22, 2019
Progress in computing power and advances in medical imaging over recent decades have culminated in new opportunities for artificial intelligence (AI), computer vision, and using radiomics to facilitate clinical decision-making. These opportunities ar...
Artificial Intelligence Female Breast Neoplasms Decision Support Systems, Clinical Radiography Image Interpretation, Computer-Assisted Humans
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Identifying key gait features associated with the radiological grade of knee osteoarthritis.

Osteoarthritis and cartilage Aug 7, 2019
PURPOSE: Knee osteoarthritis (KOA) is characterized by pain and decreased gait function. This study assessed key features that can be used as mechanical biomarkers for KOA severity and progression. The identified features were validated statistically...
Aged Adult Male Humans Machine Learning Female Gait Gait Analysis Osteoarthritis, Knee Middle Aged Severity of Illness Index Radiography
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Machine learning in breast MRI.

Journal of magnetic resonance imaging : JMRI Jul 5, 2019
Machine-learning techniques have led to remarkable advances in data extraction and analysis of medical imaging. Applications of machine learning to breast MRI continue to expand rapidly as increasingly accurate 3D breast and lesion segmentation allow...
Humans Machine Learning Radiography Retrospective Studies Breast Magnetic Resonance Imaging
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Response to Editorial "Artificial intelligence, machine learning, and the human interface in medicine: Is there a sweet spot for oral and maxillofacial radiology?".

Oral surgery, oral medicine, oral pathology and oral radiology Jun 14, 2019
Radiography Humans Artificial Intelligence Radiology Machine Learning
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Response to Letters to the Editor regarding the editorial "Artificial intelligence, machine learning, and the human interface in medicine: is there a sweet spot for oral and maxillofacial radiology?".

Oral surgery, oral medicine, oral pathology and oral radiology Jun 14, 2019
Humans Radiology Artificial Intelligence Machine Learning Radiography
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Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond the visually recognizable level of a human being. Because of the anatomic characteristics and location, on-board target verification for radiation de...
Organ Motion Pancreatic Neoplasms Radiography Datasets as Topic Pancreas Radiotherapy, Image-Guided Fiducial Markers Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Humans
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Deep Learning for the Radiographic Detection of Periodontal Bone Loss.

Scientific reports Jun 11, 2019
We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL. A deep f...
Reproducibility of Results Deep Learning ROC Curve Humans Alveolar Bone Loss Radiography Databases as Topic Dentists
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Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure.

Physics in medicine and biology May 31, 2019
Dual-energy chest radiography (DECR) is a medical imaging technology that can improve diagnostic accuracy. This technique can decompose single-energy chest radiography (SECR) images into separate bone- and soft tissue-only images. This can, however, ...
Humans Deep Learning Image Processing, Computer-Assisted Radiography Thorax Radiation Exposure
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Toward Automated 3D Spine Reconstruction from Biplanar Radiographs Using CNN for Statistical Spine Model Fitting.

IEEE transactions on medical imaging May 3, 2019
To date, 3D spine reconstruction from biplanar radiographs involves intensive user supervision and semi-automated methods that are time-consuming and not effective in clinical routine. This paper proposes a new, fast, and automated 3D spine reconstru...
Spine Scoliosis Imaging, Three-Dimensional Humans Principal Component Analysis Algorithms Adolescent Neural Networks, Computer Radiography
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Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

Pediatric radiology Apr 30, 2019
BACKGROUND: An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the automated curation of large medical imagin...
Semantics Area Under Curve Female Child Humans Workflow Clinical Competence ROC Curve Adolescent Musculoskeletal Diseases Child, Preschool Automation Male Deep Learning Radiography Radiologists Machine Learning Databases, Factual Retrospective Studies Neural Networks, Computer
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