Results 21 to 30 of about 379,277 (342)

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

open access: yesDiagnostics, 2020
Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system.
Muhammad Attique Khan   +6 more
semanticscholar   +1 more source

Prevalence of Burnout of Radiologists in Private Practice

open access: yesJournal of the American College of Radiology, 2023
Purpose: The aim of this study was to evaluate the prevalence and demographic factors associated with both burnout and fulfillment of private practice radiologists within the largest coalition of independent wholly physician-owned diagnostic radiology ...
J. Parikh   +4 more
semanticscholar   +1 more source

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

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 ...
Taylor, PM
core   +1 more source

Paediatric radiology seen from Africa. Part I: providing diagnostic imaging to a young population [PDF]

open access: yes, 2011
Article approval pendingPaediatric radiology requires dedicated equipment, specific precautions related to ionising radiation, and specialist knowledge. Developing countries face difficulties in providing adequate imaging services for children.
A Brandt   +33 more
core   +2 more sources

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.

open access: yesThe Lancet Digital Health, 2021
BACKGROUND Chest x-rays are widely used in clinical practice; however, interpretation can be hindered by human error and a lack of experienced thoracic radiologists.
J. Seah   +16 more
semanticscholar   +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

Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis

open access: yesThe Lancet Digital Health, 2022
Summary Background We propose a decision-referral approach for integrating artificial intelligence (AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on the basis of its quantification of uncertainty.
Christian Leibig   +5 more
semanticscholar   +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

The organizational implications of medical imaging in the context of Malaysian hospitals [PDF]

open access: yes, 2010
This research investigated the implementation and use of medical imaging in the context of Malaysian hospitals. In this report medical imaging refers to PACS, RIS/HIS and imaging modalities which are linked through a computer network.
Mohd Nor, Rohaya, Mohd Nor, Rohaya
core   +1 more source

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