Results 41 to 50 of about 1,125,562 (375)
Insights into Imaging, 2021 Rationale and methodology A survey of patients was carried out between January and June 2019, to better understand how patients interpret value in relation to radiology as a means to refining the concept of Value-Based Radiology (VBR) in Europe, ensure ...
European Society of Radiology (ESR)
doaj +1 more source
Radiology-GPT: A Large Language Model for Radiology [PDF]
arXiv, 2023 We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstrates superior performance compared to general language models such as StableLM, Dolly and LLaMA.
arxiv
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
Molecular Oncology, EarlyView.The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld +7 more
wiley +1 more source
Radiology education in Europe: Analysis of results from 22 European countries. [PDF]
, 2017 AimTo assess the state of radiology education across Europe by means of a survey study.MethodsA comprehensive 23-item radiology survey was distributed via email to the International Society of Radiology members, national radiological societies ...
Dillon, William P +6 more
core
Molecular Oncology, EarlyView.Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien +7 more
wiley +1 more source
Visual Grading Analysis of image quality in pediatric abdominal images acquired by Direct Digital Radiography and Computer Radiography Systems [PDF]
, 2013 The advent of digital technology allowed for great improvements in radiology and lead the way for digital radiology, leaving behind conventional x-ray techniques, [1]. Digital post-processing of image is the main advantage of digital image systems (e.g.,
Avelãs, Rita +7 more
core +1 more source
What the radiologist should know about artificial intelligence – an ESR white paper
Insights into Imaging, 2019 This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution.
European Society of Radiology (ESR)
doaj +1 more source
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
γ-H2AX foci as in vivo effect biomarker in children emphasize the importance to minimize x-ray doses in paediatric CT imaging [PDF]
, 2014 Objectives: Investigation of DNA damage induced by CT x-rays in paediatric patients versus patient dose in a multicentre setting. Methods: From 51 paediatric patients (median age, 3.8 years) who underwent an abdomen or chest CT examination in one of the
A. De Backer +9 more
core +2 more sources