Results 81 to 90 of about 1,219,864 (384)
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract The present study was conducted as part of a comprehensive work to establish National Diagnostic Reference Levels (NDRLs) in Sri Lanka for the first time. DRLs can be used as an effective optimization tool for identifying unusually high or low patient doses during X‐ray examinations.
Sachith Welarathna +3 more
wiley +1 more source
Insights into Imaging, 2019 The importance of clinical audit in radiological practice is increasingly recognised and undertaking clinical audit “in accordance with national procedures” is mandatory for radiology departments within the European Union following implementation of the ...
European Society of Radiology (ESR)
doaj +1 more source
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays [PDF]
arXiv, 2023 The extraction of structured clinical information from free-text radiology reports in the form of radiology graphs has been demonstrated to be a valuable approach for evaluating the clinical correctness of report-generation methods. However, the direct generation of radiology graphs from chest X-ray (CXR) images has not been attempted.
arxiv
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI [PDF]
Journal of Magnetic Resonance Imaging, 2018 Deep learning is a branch of artificial intelligence where networks of simple interconnected units are used to extract patterns from data in order to solve complex problems.
M. Mazurowski +3 more
semanticscholar +1 more source
The RSNA International COVID-19 Open Radiology Database (RICORD)
Radiology, 2021 The coronavirus disease 2019 (COVID-19) pandemic is a global health care emergency. Although reverse-transcription polymerase chain reaction testing is the reference standard method to identify patients with COVID-19 infection, chest radiography and CT ...
E. Tsai +22 more
semanticscholar +1 more source
Can Prompt Learning Benefit Radiology Report Generation? [PDF]
arXiv, 2023 Radiology report generation aims to automatically provide clinically meaningful descriptions of radiology images such as MRI and X-ray. Although great success has been achieved in natural scene image captioning tasks, radiology report generation remains challenging and requires prior medical knowledge. In this paper, we propose PromptRRG, a method that
arxiv
European Training Assessment Programme 2.0
Insights into Imaging, 2019 The European Training Assessment Programme (ETAP) 2.0 offers a structured assessment of radiology training institutions applying for certification, without geographical constraints.
European Board of Radiology (EBR)
doaj +1 more source
Insights into Imaging, 2022 Radiology as a specialty has been enormously successful since its beginnings, moving over time from an adjunct to clinical decision-making to a crucial component of multidisciplinary patient care.
European Society of Radiology (ESR)
doaj +1 more source
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis [PDF]
, 2020 Despite the rapid development of natural language processing (NLP) implementation in electronic medical records (EMRs), Chinese EMRs processing remains challenging due to the limited corpus and specific grammatical characteristics, especially for radiology reports.
arxiv +1 more source
Insights into Imaging, 2019 The recently implemented European Council Basic Safety and Standards Directive (BSSD), 2013/59/Euratom lays down core radiation protection standards for European radiology departments, with a mandatory requirement for supporting clinical audit processes.
European Society of Radiology (ESR)
doaj +1 more source