AIMC Topic: Radiography
Clear Filters Showing 471 to 480 of 1087 articles
Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats.
Scientific reports
Jul 6, 2022
Thoracic radiograph (TR) is a complementary exam widely used in small animal medicine which requires a sharp analysis to take full advantage of Radiographic Pulmonary Pattern (RPP). Although promising advances have been made in deep learning for vete...
Feasibility of deep learning for dental caries classification in bitewing radiographs based on the ICCMS™ radiographic scoring system.
Oral surgery, oral medicine, oral pathology and oral radiology
Jul 2, 2022
OBJECTIVE: To evaluate the potential of deep learning models for categorization of dental caries in bitewing radiographs based on the International Caries Classification and Management System (ICCMS™) radiographic scoring system (RSS).
Neural Network Detection of Pacemakers for MRI Safety.
Journal of digital imaging
Jun 29, 2022
Flagging the presence of cardiac devices such as pacemakers before an MRI scan is essential to allow appropriate safety checks. We assess the accuracy with which a machine learning model can classify the presence or absence of a pacemaker on pre-exis...
Editorial Comment: Exciting Future of Artificial Intelligence for Radiology May Lie in the Routine.
AJR. American journal of roentgenology
Jun 29, 2022
Deep Learning-Based Prediction Model Using Radiography in Nontuberculous Mycobacterial Pulmonary Disease.
Chest
Jun 28, 2022
BACKGROUND: Prognostic prediction of nontuberculous mycobacteria pulmonary disease using a deep learning technique has not been attempted.
Lower-extremity fatigue fracture detection and grading based on deep learning models of radiographs.
European radiology
Jun 24, 2022
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and assessing lower-extremity fatigue fracture severity on plain radiographs.
Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice.
Korean journal of radiology
Jun 20, 2022
Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs.
Scientific reports
Jun 17, 2022
Artificial intelligence (AI) applied to pediatric chest radiographs are yet scarce. This study evaluated whether AI-based software developed for adult chest radiographs can be used for pediatric chest radiographs. Pediatric patients (≤ 18 years old) ...
Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs.
Journal of digital imaging
Jun 16, 2022
The rotation and tilt of the pelvis during anteroposterior pelvic radiography can lead to misdiagnosis of developmental dysplasia of the hip (DDH) in children. At present, no method exists for accurately and conveniently measuring the precise rotatio...
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