AIMC Topic: Radiography

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Artificial intelligence to diagnosis distal radius fracture using biplane plain X-rays.

Journal of orthopaedic surgery and research Nov 25, 2021
BACKGROUND: Although the automatic diagnosis of fractures using artificial intelligence (AI) has recently been reported to be more accurate than those by orthopedics specialists, big data with at least 1000 images or more are required for deep learni...
Wrist Injuries Diagnosis, Computer-Assisted Radiography X-Rays Wrist Joint Radius Fractures Humans Artificial Intelligence
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External validation of a commercially available deep learning algorithm for fracture detection in children.

Diagnostic and interventional imaging Nov 19, 2021
PURPOSE: The purpose of this study was to conduct an external validation of a fracture assessment deep learning algorithm (Rayvolve®) using digital radiographs from a real-life cohort of children presenting routinely to the emergency room.
Child, Preschool Child Deep Learning Adolescent Radiography Female Infant, Newborn Male Infant Sensitivity and Specificity Algorithms Retrospective Studies Humans
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Automatic localization of cephalometric landmarks based on convolutional neural network.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Nov 18, 2021
INTRODUCTION: Cephalometry plays an important role in the diagnosis and treatment of orthodontics and orthognathic surgery. This study intends to develop an automatic landmark location system to make cephalometry more convenient.
Neural Networks, Computer Reproducibility of Results Radiography Humans Orthodontics Anatomic Landmarks Cephalometry
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Deep Learning Algorithms for Interpretation of Upper Extremity Radiographs: Laterality and Technologist Initial Labels as Confounding Factors.

AJR. American journal of roentgenology Nov 10, 2021
Convolutional neural networks (CNNs) trained to identify abnormalities on upper extremity radiographs achieved an AUC of 0.844 with a frequent emphasis on radiograph laterality and/or technologist labels for decision-making. Covering the labels incre...
Radiography Upper Extremity Algorithms Deep Learning Humans Neural Networks, Computer
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Data Augmentation of Backscatter X-ray Images for Deep Learning-Based Automatic Cargo Inspection.

Sensors (Basel, Switzerland) Nov 2, 2021
Custom inspection using X-ray imaging is a very promising application of modern pattern recognition technology. However, the lack of data or renewal of tariff items makes the application of such technology difficult. In this paper, we present a data ...
Image Processing, Computer-Assisted Radiography Deep Learning X-Rays
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Biomedical Ontologies to Guide AI Development in Radiology.

Journal of digital imaging Nov 1, 2021
The advent of deep learning has engendered renewed and rapidly growing interest in artificial intelligence (AI) in radiology to analyze images, manipulate textual reports, and plan interventions. Applications of deep learning and other AI approaches ...
Humans Radiography Radiology Biological Ontologies Artificial Intelligence Natural Language Processing
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Detection of Dental Apical Lesions Using CNNs on Periapical Radiograph.

Sensors (Basel, Switzerland) Oct 24, 2021
Apical lesions, the general term for chronic infectious diseases, are very common dental diseases in modern life, and are caused by various factors. The current prevailing endodontic treatment makes use of X-ray photography taken from patients where ...
Humans Radiography Neural Networks, Computer Tooth
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Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiography in Patients With Interstitial Lung Disease.

AJR. American journal of roentgenology Oct 20, 2021
Deep learning has been heavily explored for pulmonary nodule detection on chest radiographs. Detection of reticular opacity in interstitial lung disease (ILD) is challenging and may also benefit from a deep learning algorithm (DLA). The purpose of ...
Radiography, Thoracic Humans Algorithms Radiography Aged Lung Diseases, Interstitial Sensitivity and Specificity Middle Aged Male Deep Learning Retrospective Studies Female
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Artificial intelligence as a diagnostic aid in cross-sectional radiological imaging of the abdominopelvic cavity: a protocol for a systematic review.

BMJ open Oct 20, 2021
INTRODUCTION: The application of artificial intelligence (AI) technologies as a diagnostic aid in healthcare is increasing. Benefits include applications to improve health systems, such as rapid and accurate interpretation of medical images. This may...
Bias Systematic Reviews as Topic Humans Artificial Intelligence Radiography Cross-Sectional Studies Diagnostic Imaging
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The augmented radiologist: artificial intelligence in the practice of radiology.

Pediatric radiology Oct 19, 2021
In medicine, particularly in radiology, there are great expectations in artificial intelligence (AI), which can "see" more than human radiologists in regard to, for example, tumor size, shape, morphology, texture and kinetics - thus enabling better c...
Humans Child Radiography Artificial Intelligence Radiology Radiologists
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