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Diagnostic Radiology - Europe PMC

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Last Updated: 18 May 2022

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Society of Skeletal Radiology- white paper. Guidelines for the diagnostic management of incidental solitary bone lesions on CT and MRI in adults: bone reporting and data system (Bone-RADS).

Four potential diagnostic management strategies include research findings and expert opinion, based on an analysis of the latest literature and expert opinion. The Society of Skeletal Radiology's Practice Guidelines and Technical Standards Committee recommends a bone reporting and tracking system for incidentally finding single bone lesions on CT and MRI.

Source link: https://europepmc.org/article/MED/35344076


Impact of long duty hours on education and well-being of diagnostic radiology residents: A national survey in Saudi Arabia.

Objectives The primary aim of this report was to investigate and report the perceived negative effects of long duty hours on education and personal well-being among medical students in Saudi Arabia's diagnostic radiology residency program. Methods This cross-sectional research used a questionnaire with eight measures relating to the education and well-being of radiology residents in Saudi Arabia during the academic year 2019-2020. Our survey was completed by 337 people, 116 diagnostic radiology consultants, with a response rate of 34. 4%. Three items related to the post-duty day were ranked at the top of the list when using the RII. During the post-call day, the negative effect on sleep rhythm during the call day ranked first, followed by the effects on social life, family activities, and exercise. Negative perception and gender were not linked.

Source link: https://europepmc.org/article/MED/35480531


Applications and challenges of artificial intelligence in diagnostic and interventional radiology.

Purpose Machine learning and deep learning can be used in radiology to aid diagnosis and in predicting management and outcomes based on specific image findings. The aim of this literature review is to highlight recent studies highlighting the key ways in which ML and DL can be used in radiology, as well as solutions to the challenges that this implementation may face. The articles included in our review examined a variety of uses of artificial intelligence in radiology. In addition, the training results should be representative of the population to which the new ML platform would be used. Conclusions As radiologists continue to work, increased workload and increased usage of artificial intelligence may lead to improved outcomes in medical imaging by assisting, rather than guiding or replacing radiologists.

Source link: https://europepmc.org/article/MED/35280945

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions