AIMC Topic: Radiography

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Analysis of ChatGPT publications in radiology: Literature so far.

Current problems in diagnostic radiology Oct 20, 2023
OBJECTIVE: To perform a detailed qualitative and quantitative analysis of the published literature on ChatGPT and radiology in the nine months since its public release, detailing the scope of the work in the short timeframe.
Publications Diagnostic Imaging Radiology Artificial Intelligence Radiography
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Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.

Journal of medical Internet research Oct 19, 2023
BACKGROUND: Artificial intelligence (AI) is transforming various fields, with health care, especially diagnostic specialties such as radiology, being a key but controversial battleground. However, there is limited research systematically examining th...
Humans Intelligence Artificial Intelligence Radiography Radiology Cross-Sectional Studies
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Deep learning-based identification of spine growth potential on EOS radiographs.

European radiology Oct 18, 2023
OBJECTIVES: To develop an automatic computer-based method that can help clinicians in assessing spine growth potential based on EOS radiographs.
Male Infant Algorithms Deep Learning Spine Female Humans Child, Preschool Scoliosis Child Radiography
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Radiology under siege? Adversarial attacks against deep learning algorithms.

European journal of radiology Oct 18, 2023
Algorithms Deep Learning Radiography Radiology Humans
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[The transformative effect of artificial intelligence in hospitals : The focus is on the individual].

Innere Medizin (Heidelberg, Germany) Oct 18, 2023
Rapid advances in digital technology and the promising potential of artificial intelligence (AI) are changing our everyday lives and have already impacted on hospital procedures. The use of AI applications, in particular, enables a wide range of poss...
Humans Artificial Intelligence Radiography Patient Care Reproducibility of Results Hospitals
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Screening obstructive sleep apnea patients via deep learning of knowledge distillation in the lateral cephalogram.

Scientific reports Oct 18, 2023
The lateral cephalogram in orthodontics is a valuable screening tool on undetected obstructive sleep apnea (OSA), which can lead to consequences of severe systematic disease. We hypothesized that a deep learning-based classifier might be able to diff...
Polysomnography Humans Radiography Deep Learning ROC Curve Sleep Apnea, Obstructive
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Deep learning model shows promise for detecting and grading sesamoiditis in horse radiographs.

American journal of veterinary research Oct 17, 2023
OBJECTIVE: The objective of this study was to develop a robust machine-learning approach for efficient detection and grading of sesamoiditis in horses using radiographs, specifically in data-limited conditions.
Retrospective Studies Sesamoid Bones Radiography Animals Horses Deep Learning Horse Diseases
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Development of a novel artificial intelligence algorithm to detect pulmonary nodules on chest radiography.

Fukushima journal of medical science Oct 17, 2023
BACKGROUND: In this study, we aimed to develop a novel artificial intelligence (AI) algorithm to support pulmonary nodule detection, which will enable physicians to efficiently interpret chest radiographs for lung cancer diagnosis.
Algorithms Retrospective Studies Humans Artificial Intelligence Radiography Deep Learning Multiple Pulmonary Nodules
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Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study.

Journal of medical Internet research Oct 13, 2023
BACKGROUND: Artificial Intelligence (AI) has been developing for decades, but in recent years its use in the field of health care has experienced an exponential increase. Currently, there is little doubt that these tools have transformed clinical pra...
Perception Radiography Radiology Humans Artificial Intelligence Adult Cross-Sectional Studies Female
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An AI-based algorithm for the automatic evaluation of image quality in canine thoracic radiographs.

Scientific reports Oct 9, 2023
The aim of this study was to develop and test an artificial intelligence (AI)-based algorithm for detecting common technical errors in canine thoracic radiography. The algorithm was trained using a database of thoracic radiographs from three veterina...
Algorithms Retrospective Studies Artificial Intelligence Italy Dogs Radiography, Thoracic Animals Radiography
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