Results 41 to 50 of about 747,183 (372)
Semiology and radiology integration: a new trend in the teaching-learning process [PDF]
Revista Brasileira de Educação Médica, 2021 : Introduction: The development of clinical reasoning to diagnose diseases and order ancillary tests, such as radiology imaging, is based on history-taking and physical examination skills, which are developed during the semiology course.
Rafaela Queiroz de Morais +4 more
doaj +2 more sources
Treatment planning with a 2.5 MV photon beam for radiation therapy
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose The shallow depth of maximum dose and higher dose fall‐off gradient of a 2.5 MV beam along the central axis that is available for imaging on linear accelerators is investigated for treatment of shallow tumors and sparing the organs at risk (OARs) beyond it.
Navid Khaledi +5 more
wiley +1 more source
Radiology for medical students (1925-2018): an overview [PDF]
, 2020 Objective: Radiology has been espoused as an excellent tool for educating medical students since 1925. Advances in technology and PACS mean it has never been easier to demonstrate living anatomy and clinical pathology in exquisite detail to students ...
Cannon, Paul +2 more
core +1 more source
Impact of flexible noise control (FNC) image processing parameters on portable chest radiography
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract There is a lack of understanding in the performance of flexible noise control (FNC) processing, which is used in digital radiography on a scanner vendor and has four parameters each involving multiple options. The aim of this study was to investigate the impact of FNC on portable chest imaging. An anthropomorphic chest phantom was imaged using
Krystal M. Kirby +6 more
wiley +1 more source
The Arab Journal of Interventional Radiology, 2019 Context: One of the most important challenges facing the evolution of modern interventional radiology is its lack of awareness among medical students.
Rahaf Albaqawi +5 more
doaj +1 more source
JMIR Medical Education, 2023 The role of artificial intelligence (AI) in radiology has grown exponentially in the recent years. One of the primary worries by medical students is that AI will cause the roles of a radiologist to become automated and thus obsolete. Therefore,
David Shalom Liu +3 more
doaj +1 more source
Volume staging for arteriovenous malformation SRS treatment using VMAT
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Volume staging involves dividing the target volume into smaller parts and treating each part separately. In this study, the feasibility of volume‐staged stereotactic radiosurgery (VS‐SRS) on a linear accelerator using volumetric modulated arc therapy (VMAT) and a frameless patient positioning system is investigated.
Claudia Mendez, Ermias Gete
wiley +1 more source
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels [PDF]
, 2021 Automatic extraction of medical conditions from free-text radiology reports is critical for supervising computer vision models to interpret medical images. In this work, we show that radiologists labeling reports significantly disagree with radiologists labeling corresponding chest X-ray images, which reduces the quality of report labels as proxies for
arxiv +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract This study aimed to evaluate the clinical beam commissioning results and lateral penumbra characteristics of our new pencil beam scanning (PBS) proton therapy using a multi‐leaf collimator (MLC) calculated by use of a commercial Monte Carlo dose engine.
Yuki Tominaga +5 more
wiley +1 more source
Learning Semi-Structured Representations of Radiology Reports [PDF]
arXiv, 2021 Beyond their primary diagnostic purpose, radiology reports have been an invaluable source of information in medical research. Given a corpus of radiology reports, researchers are often interested in identifying a subset of reports describing a particular medical finding. Because the space of medical findings in radiology reports is vast and potentially
arxiv