Results 21 to 30 of about 179,985 (317)

Macrodystrophia lipomatosa

open access: yesSouth African Journal of Radiology, 2014
Macrodystrophia lipomatosa (MDL) is a rare congenital, but non-hereditary, form of localised gigantism of the fingers or toes. The hallmark of the condition is hypertrophy of all mesenchymal elements in the involved region, with a predominance of fibro ...
Andrew J. van den Heever
doaj   +1 more source

Agreement in the reporting of General Practitioner requested musculoskeletal radiographs: Reporting radiographers and consultant radiologists compared with an index radiologist

open access: yes, 2022
This study assessed the inter-observer agreement of reporting radiographers and consultant radiologists compared with an index radiologist when reporting General Practitioner (GP) requested musculoskeletal radiographs.
Bodoceanu, M.   +4 more
core   +1 more source

Improving the quality and safety of radiology reporting: A prospective audit of discrepancies among consultant radiologists

open access: yesiRADIOLOGY, 2023
Objectives To examine discrepancy rates over multiple annual cycles in reporting by consultant radiologists for the interpretation of acute Computerized Tomography (CT) examinations.
Jenny Connor   +5 more
doaj   +1 more source

Radiological Clinical Practice Guidelines Published in the Last Decade: A Bibliometric Analysis

open access: yesJournal of the Belgian Society of Radiology, 2019
Objectives: To provide a comprehensive review of radiological clinical practice guidelines (CPGs) and to establish their characteristics and impact in the field of radiology. Material and Methods: A MEDLINE search was performed for CPGs in which at least
Su Jin Hong   +6 more
doaj   +1 more source

Radiologists in the loop: the roles of radiologists in the development of AI applications [PDF]

open access: yesEuropean Radiology, 2021
Abstract Objectives To examine the various roles of radiologists in different steps of developing artificial intelligence (AI) applications. Materials and methods Through the case study of eight companies active in developing AI applications for radiology, in different ...
Damian Scheek   +2 more
openaire   +4 more sources

A review of research into the development of radiologic expertise: Implications for computer-based training [PDF]

open access: yes, 2007
Rationale and Objectives. Studies of radiologic error reveal high levels of variation between radiologists. Although it is known that experts outperform novices, we have only limited knowledge about radiologic expertise and how it is acquired.Materials ...
Paul M. Taylor, Taylor, PM
core   +1 more source

Prevalence of musculoskeletal disorders and eye strain among the radiologists in Belagavi

open access: yesBLDE University Journal of Health Sciences, 2020
BACKGROUND: Radiologists face unique occupational health hazards among which musculoskeletal injuries, chronic eye strain, and others are yet to receive adequate attention.
Anand Heggannavar   +4 more
doaj   +1 more source

Letter to the Editor in response to the Position statement and best practice recommendations on the imaging use of ultrasound from the European Society of Radiology ultrasound subcommittee

open access: yesInsights into Imaging, 2021
This letter to the editor is in response to the consensus statement from the Ultrasound Subcommittee of the European Society of Radiology, the European Union of Medical Specialists (UEMS) Section of Radiology, and the European Federation of Societies for
Chris Kalinka   +7 more
doaj   +1 more source

A cohort of Italian radiologists match international counterparts in breast cancer

open access: yes, 2020
BACKGROUND: Italy has amongst the highest incidence rates of breast cancer in the world, highlighting the need for high quality early diagnosis to reduce mortality.
McGowan, Saxon   +21 more
core   +1 more source

Comparison of Diagnostic Performance in Mammography Assessment: Radiologist with Reference to Clinical Information Versus Standalone Artificial Intelligence Detection

open access: yesDiagnostics, 2022
We compared diagnostic performances between radiologists with reference to clinical information and standalone artificial intelligence (AI) detection of breast cancer on digital mammography.
Won Jae Choi   +3 more
doaj   +1 more source

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