… by a lack of normal development of the intelligence. It may be due to damage of the brain
sub… surveys of the chest, carefully done as these were, are of value for the detection of other …

… This study evaluated an AI algorithm trained on the public NIH Chest-X-Ray14 and PLCO
datasets for the detection of consolidations suspicious for pneumonia, locally restricted …

… Many papers have used deep learning to help identified chest lesions such as pneumonia,
pneumothorax, etc. (16, 17), Furthermore, the specific pattern of pneumonia caused by Covid-…

… The results of the research can be used to build the intelligent decision support systems
for diagnosing and predicting of socially significant diseases. In the future, further research is …

… During the past years, artificial intelligence (AI) algorithms have shown to successfully …
Herein, we introduce an algorithm prototype for the detection of consolidations suspicious for …

… guidelines used to interpret roentgenograms for the determination of … detector by adding
a shield on the probe detection window. To validate, the detector was used to perform a chest …

… However, detecting pneumonia from chest radiography is a challenging task, even for
experienced radiologists. An artificial intelligence (AI) model might help to diagnose pneumonia …

… Diagnostic accuracy of artificial intelligence (AI) pneumothorax (PTX) detection in chest
radiographs (CXR) is limited by the noisy annotation quality of public training data and …

… Patients with normal chest roentgenograms and normal … THE chest roentgenogram may be
normal in such disorders … almost axiomatic that the roentgenogram is abnormal as implied by …

… detection of suspicious lung nodules (cohort [1], AUC AI/RR: 0.851/0.839, p = 0.793) and the
radiological readers in the detection … material and in the detection of small pneumothoraces, …