Results 11 to 20 of about 70 (69)
Medical Radiology: Current Progress
Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest-growing radiological subspecialties. In this study, a compressive
Alessia Pepe+8 more
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Medical Radiology in Norway [PDF]
A short review is given of the development of medical radiology in Norway since the discovery of X-rays in 1895.
E. Poppe, T. Aakhus
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Medical Ethics in Radiology [PDF]
According to the recent developments in radiological techniques, the role of radiology in the clinical management of patients is ever increasing and in turn, so is the importance of radiology in patient management. Thus far, there have been few open discussions about medical ethics related to radiology in Korea.
Jae Hyung Park+3 more
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Radiology education: a radiology curriculum for all medical students?
Abstract Diagnostic errors in radiology are frequent and can cause severe patient harm. Despite large performance differences between radiologists and non-radiology physicians, the latter often interpret medical images because electronic health records make images available throughout the hospital. Some people argue that non-radiologists
Zwaan, Laura+2 more
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The coronavirus disease 2019 (COVID-19) pandemic has resulted in significant changes to medical student education by disrupting clinical rotations, licensing exams, and residency applications. To evaluate the pandemic's impact and required modifications of radiology medical student courses, the authors developed and administered surveys to Alliance of ...
Smith, Elana B.+6 more
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Radiology for Medical students.pdf
This is a simple compact Radiology book for medical students and students of health sciences and their teachers involving the important topics that are necessary for undergraduate education. It also provides a simple guide to junior residents in Radiology, doctors in other fields both for their knowledge and for teaching medical students and students ...
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Federated learning for medical imaging radiology
Abstract Federated learning (FL) is gaining wide acceptance across the medical AI domains. FL promises to provide a fairly acceptable clinical-grade accuracy, privacy, and generalisability of machine learning models across multiple institutions. However, the research on FL for medical imaging AI is still in its early stages.
Rehman, Muhammad Habib Ur+5 more
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Radiology in the medical swirl [PDF]
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Radiological Emergencies and the Medical Physicist [PDF]
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AI in Radiology: Navigating Medical Responsibility
The application of Artificial Intelligence (AI) facilitates medical activities by automating routine tasks for healthcare professionals. AI augments but does not replace human decision-making, thus complicating the process of addressing legal responsibility. This study investigates the legal challenges associated with the medical use of AI in radiology,
Maria Teresa Contaldo+5 more
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