AIMC Topic: Radiography

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[Validation and implementation of artificial intelligence in radiology : Quo vadis in 2022?].

Radiologie (Heidelberg, Germany) Dec 12, 2022
BACKGROUND: The hype around artificial intelligence (AI) in radiology continues and the number of approved AI tools is growing steadily. Despite the great potential, integration into clinical routine in radiology remains limited. In addition, the lar...
Databases, Factual Radiography Radiology Germany Artificial Intelligence
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Reducing Errors Resulting From Commonly Missed Chest Radiography Findings.

Chest Dec 10, 2022
Chest radiography (CXR), the most frequently performed imaging examination, is vulnerable to interpretation errors resulting from commonly missed findings. Methods to reduce these errors are presented. A practical approach using a systematic and comp...
Radiography, Thoracic Artificial Intelligence Radiography Humans
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An Educational Graphical User Interface to Construct Convolutional Neural Networks for Teaching Artificial Intelligence in Radiology.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Dec 7, 2022
Deep learning techniques using convolutional neural networks (CNNs) have been successfully developed for various medical image analysis tasks. However, the skills to understand and develop deep learning models are not usually taught during radiology ...
Artificial Intelligence Machine Learning Humans Neural Networks, Computer Radiography Radiology
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In Bed with AI: Aided Diagnosis of Supine Chest Radiographs.

Radiology Dec 6, 2022
Humans Artificial Intelligence Posture Radiography
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Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.

Radiology Dec 6, 2022
Background Supine chest radiography for bedridden patients in intensive care units (ICUs) is one of the most frequently ordered imaging studies worldwide. Purpose To evaluate the diagnostic performance of a neural network-based model that is trained ...
Radiography, Thoracic Child Female Artificial Intelligence Radiography Humans Male Aged Retrospective Studies Adult Lung
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Automatic lower limb bone segmentation in radiographs with different orientations and fields of view based on a contextual network.

International journal of computer assisted radiology and surgery Dec 4, 2022
PURPOSE: Bone identification and segmentation in X-ray images are crucial in orthopedics for the automation of clinical procedures, but it often involves some manual operations. In this work, using a modified SegNet neural network, we automatically i...
Humans Image Processing, Computer-Assisted Lower Extremity Radiography Neural Networks, Computer Tomography, X-Ray Computed
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Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.

JAMA network open Dec 1, 2022
IMPORTANCE: Early detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model cou...
Humans Retrospective Studies Adolescent Artificial Intelligence Middle Aged Pneumothorax Adult Radiography Female Deep Learning Radiography, Thoracic Male
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Primary bone tumor detection and classification in full-field bone radiographs via YOLO deep learning model.

European radiology Nov 30, 2022
OBJECTIVES: Automatic bone lesions detection and classifications present a critical challenge and are essential to support radiologists in making an accurate diagnosis of bone lesions. In this paper, we aimed to develop a novel deep learning model ca...
Retrospective Studies Diagnosis, Computer-Assisted Humans Radiography Deep Learning Bone Neoplasms
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Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis.

Scientific reports Nov 29, 2022
Lateral cephalograms and related analysis constitute representative methods for orthodontic treatment. However, since conventional cephalometric radiographs display a three-dimensional structure on a two-dimensional plane, inaccuracies may be produce...
Dental Care Humans Radiography Child Cephalometry Artificial Intelligence Cone-Beam Computed Tomography
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X-ray dose profiles using artificial neural networks.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Nov 28, 2022
This paper introduces a novel computational method to simulate and predict radiation dose profiles in a water phantom irradiated by X-rays of 6 and 15 MV at different depths and field sizes using Artificial Neural Networks within the error margin req...
Radiometry Radiotherapy Dosage Radiography Phantoms, Imaging Monte Carlo Method Humans Radiotherapy Planning, Computer-Assisted X-Rays Neural Networks, Computer
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