AIMC Topic: Radiography
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Deep convolutional neural network-the evaluation of cervical vertebrae maturation.
Oral radiology
Mar 9, 2023
OBJECTIVES: This study aimed to automatically determine the cervical vertebral maturation (CVM) processes on lateral cephalometric radiograph images using a proposed deep learning-based convolutional neural network (CNN) model and to test the success...
Natural language processing in radiology: Clinical applications and future directions.
Clinical imaging
Mar 5, 2023
Natural language processing (NLP) is a wide range of techniques that allows computers to interact with human text. Applications of NLP in everyday life include language translation aids, chat bots, and text prediction. It has been increasingly utiliz...
Evaluation of the clinical performance of an AI-based application for the automated analysis of chest X-rays.
Scientific reports
Mar 5, 2023
The AI-Rad Companion Chest X-ray (AI-Rad, Siemens Healthineers) is an artificial-intelligence based application for the analysis of chest X-rays. The purpose of the present study is to evaluate the performance of the AI-Rad. In total, 499 radiographs...
Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study.
The British journal of radiology
Mar 3, 2023
OBJECTIVE: In this proof-of-concept study, we aimed to develop deep-learning-based classifiers to identify rib fractures on frontal chest radiographs in children under 2 years of age.
Beyond the : Comparison of Artificial Intelligence Candidate and Radiologists on Mock Examinations for the Fellow of Royal College of Radiology Part B.
AJR. American journal of roentgenology
Mar 1, 2023
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT.
Diagnostic and interventional imaging
Feb 28, 2023
Artificial intelligence has demonstrated utility and is increasingly being used in the field of radiology. The use of generative pre-trained transformer (GPT)-based models has the potential to revolutionize the field of radiology, offering new possib...
Unsupervised anomaly detection for posteroanterior chest X-rays using multiresolution patch-based self-supervised learning.
Scientific reports
Feb 28, 2023
The demand for anomaly detection, which involves the identification of abnormal samples, has continued to increase in various domains. In particular, with increases in the data volume of medical imaging, the demand for automated screening systems has...
Letter From the Editor: Artificial Intelligence and Radiology.
Seminars in roentgenology
Feb 25, 2023
Artificial Intelligence in Radiology: A Private Practice Perspective From a Large Health System in Latin America.
Seminars in roentgenology
Feb 23, 2023
In the field of radiology, the use of artificial intelligence (AI) is increasing. Even though healthcare facilities are interested in using this technology, having success with an AI project can be challenging. There is a myriad of AI solutions today...
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.
Journal of medical Internet research
Feb 16, 2023
BACKGROUND: An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19.
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