Jungmann, Florian Kämpgen, B Hahn, F Wagner, D Mildenberger, P Düber, C Kloeckner, R
Published in
Skeletal radiology
During the COVID-19 pandemic, the number of patients presenting in hospitals because of emergency conditions decreased. Radiology is thus confronted with the effects of the pandemic. The aim of this study was to use natural language processing (NLP) to automatically analyze the number and distribution of fractures during the pandemic and in the 5 y...
Cherrabi, Kaoutar Maqboub, Omar Benmansour, Najib El Alami, Mohamed Noureddine
Published in
The Egyptian Journal of Otolaryngology
BackgroundPleomorphic adenomas are common tumors of major salivary glands. However, the localization in nasal cavity originating from the lateral wall is exceptional.This work is a presentation of a very rare case that presents the diagnostic challenge, considering the multitude of malignant and benign differential diagnosis. A discussion of surgic...
Negm, Ahmed S. Elhatw, Ahmed Badawy, Mohamed Gioe, Meredith L. Khan, Sana Hammad, Mahmoud F. Shalaby, Nada Choucair, Ferial Saad, Mariam Ahmed Elfeel, Amany
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Published in
Egyptian Journal of Radiology and Nuclear Medicine
BackgroundThere is a worldwide deficit in teaching and training in the field of radiology for undergraduate medical students. This educational gap is prominent in many medical schools as most radiology curricula are a part of other specialty trainings, usually provided by non-radiologists. After COVID-19 pandemic, there was an increased trend in on...
Badawy, Mohamed Rohren, Scott Elhatw, Ahmed Negm, Ahmed S. Ahmed, Amr Khalifa, Islam Shehata, Mostafa Ahmed ElHefnawi, Yara Saenz, Florentino Kamel, Serageldin
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Published in
Egyptian Journal of Radiology and Nuclear Medicine
BackgroundRadiology serves in the diagnosis and management of many diseases. Despite its rising importance and use, radiology is not a core component of a lot of medical school curricula. This survey aims to clarify current gaps in the radiological education in Egyptian medical schools. In February–May 2021, 5318 students enrolled in Egyptian medic...
podgórska, joanna pasicz, katarzyna skrzyński, witold gołębiewski, bogumił kuś, piotr jasieniak, jakub kiliszczyk, anna rogowska, agnieszka benkert, thomas pałucki, jakub
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Introduction. In order to improve the efficacy of intravoxel incoherent motion (IVIM) parameters in characterising specific tissues, a new concept is introduced: the perfusion–diffusion ratio (PDR), which expresses the relationship between the signal Sb decline rate as a result of IVIM and the rate of signal Sb decline due to diffusion. The aim of ...
Colbert, Gates B Patel, Trisha K Gaddy, Anna Lerma, Edgar
Published in
Disease-a-month : DM
Contrast associated acute kidney injury (CA-AKI) is a controversial subject in the field of nephrology, cardiology, radiology and hospital medicine. Much has been written and published concerning the causes, risk factors, outcomes, and potential treatments to avoid the ultimate outcome of complete kidney failure requiring dialysis. Over the decades...
Prabhu, Vinay Munawar, Kamran
Published in
Academic radiology
Radiology social media research has focused on Twitter, Facebook, and YouTube, with minimal attention to Instagram, which may be a natural platform for engagement. We evaluated features of public radiology-related Instagram accounts. Instagram accounts were searched using the term "radiology." Two independent raters used a coding system developed t...
qiang, ye xie, zhuoyao guo, chang xing, lu zheng, kai zhao, yinghua
Purpose. To explore the diagnostic performance of the optimized threshold b values on IVIM to detect the activity in axial spondyloarthritis (axSpA) patients. Method. 40 axSpA patients in the active group, 144 axSpA patients in the inactive group, and 20 healthy volunteers were used to evaluate the tissue diffusion coefficient (Dslow), perfusion fr...
Abuzaid, Mohamed M Elshami, Wiam Tekin, Huseyin Issa, Bashar
Published in
Academic radiology
This study aimed to investigate radiologists' and radiographers' knowledge, perception, readiness, and challenges regarding Artificial Intelligence (AI) integration into radiology practice. An electronically distributed cross-sectional study was conducted among radiologists and radiographers in the United Arab Emirates. The questionnaire captured t...
Wood, David A Kafiabadi, Sina Al Busaidi, Aisha Guilhem, Emily L Lynch, Jeremy Townend, Matthew K Montvila, Antanas Kiik, Martin Siddiqui, Juveria Gadapa, Naveen
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Published in
European radiology
The purpose of this study was to build a deep learning model to derive labels from neuroradiology reports and assign these to the corresponding examinations, overcoming a bottleneck to computer vision model development. Reference-standard labels were generated by a team of neuroradiologists for model training and evaluation. Three thousand examinat...
