The impact of artificial intelligence on the reading times of radiologists for chest radiographs
npj Digit. Medicine, 2023 Whether the utilization of artificial intelligence (AI) during the interpretation of chest radiographs (CXRs) would affect the radiologists’ workload is of particular interest.
Hyun Joo Shin +3 more
semanticscholar +1 more source
Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT
Radiology, 2020 Background Despite its high sensitivity in diagnosing COVID-19 in a screening population, chest CT appearances of COVID 19 pneumonia are thought to be non-specific.
H. Bai +19 more
semanticscholar +1 more source
Incidence and factors associated with burnout in radiologists: A systematic review
European Journal of Radiology Open, 2023 Rationale and objectives Burnout among physicians has a prevalence rate exceeding 50%. The radiology department is not immune to the burnout epidemic. Understanding and addressing burnout among radiologists has been a subject of recent interest.
Nader Ashraf +7 more
semanticscholar +1 more source
Percutaneous radiofrequency ablation for osteoid osteoma: How we do it
Indian Journal of Radiology and Imaging, 2009 Aims and Objectives: To describe our technique for performing radiofrequency ablation (RFA) in osteoid osteoma and to evaluate the results of treatment.
Bhavin Jankharia, Nishigandha Burute
doaj +1 more source
European Radiology, 2021 Radiologists’ perception is likely to influence the adoption of artificial intelligence (AI) into clinical practice. We investigated knowledge and attitude towards AI by radiologists and residents in Europe and beyond.
M. Huisman +15 more
semanticscholar +1 more source
Radiographers supporting radiologists in the interpretation of screening mammography: a viable strategy to meet the shortage in the number of radiologists. [PDF]
, 2015 BackgroundAn alternative approach to the traditional model of radiologists interpreting screening mammography is necessary due to the shortage of radiologists to interpret screening mammograms in many countries.MethodsWe evaluated the performance of 15 ...
A Mohar +57 more
core +1 more source
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening [PDF]
IEEE Transactions on Medical Imaging, 2019 We present a deep convolutional neural network for breast cancer screening exam classification, trained, and evaluated on over 200000 exams (over 1000000 images).
Nan Wu +31 more
semanticscholar +1 more source
CT/MRI LI-RADS v2017 : review of the guidelines [PDF]
, 2018 The Liver Imaging-Reporting and Data System (LI-RADS or LR) is a classification system for reading and reporting imaging studies in patients with high risk for hepatocellular carcinoma (HCC).
core +1 more source
Juxta-articular myxoma of the wrist
South African Journal of Radiology, 2014 This case report describes a juxta-articular myxoma(JAM) in an uncommon location, demonstrating an unusually aggressive local growth pattern.
Andrew J. van den Heever
doaj +1 more source
Elicitation and representation of expert knowledge for computer aided diagnosis in mammography [PDF]
, 2004 To study how professional radiologists describe, interpret and make decisions about micro-calcifications in mammograms. The purpose was to develop a model of the radiologists' decision making for use in CADMIUM II, a computerized aid for mammogram ...
Alberdi, E., Lee, R., Taylor, P.
core +1 more source