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Medical Radiology: Current Progress [PDF]

Diagnostics, 2023
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.
Alessia Pepe, Filippo Crimì, Federica Vernuccio, Giulio Cabrelle, Amalia Lupi, Chiara Zanon, Sebastiano Gambato, Anna Perazzolo, Emilio Quaia   +8 more
doaj   +6 more sources

What works in radiology education for medical students: a systematic review and meta-analysis

BMC Medical Education
Background Medical imaging related knowledge and skills are widely used in clinical practice. However, radiology teaching methods and resultant knowledge among medical students and junior doctors is variable.
Stuart W.T. Wade, Gary M. Velan, Nicodemus Tedla, Nancy Briggs, Michelle Moscova   +4 more
doaj   +2 more sources

Competency in evidence‐based medicine and associated factors among medical radiology technologists in Addis Ababa, Ethiopia [PDF]

Journal of Medical Radiation Sciences
Introduction Evidence‐based medicine integrates clinical expertise, patient values and best research evidence in clinical decision‐making. This study aimed to assess evidence‐based medicine knowledge, attitudes, practices and associated factors among ...
Girma Tufa Melesse, Tewodros Amde, Robel Tezera   +2 more
doaj   +2 more sources

Diagnostic radiology training for medical students - a Brazilian multicenter survey [PDF]

Einstein (São Paulo), 2023
Objective This study aimed to assess diagnostic radiology training and exposure during medical school, from the perspective of medical students in Brazil.
Natally Horvat, Brunna Clemente de Oliveira, Daniella Braz Parente, Julia Werneck Paulino Soares de Souza, Livia Roma Barbosa, Isabel Veras Beleza, Géssica Silva Cazagrande, Rackel Silva Resende, Scott Andrew Rohren, Parth Patel, Mohamed E. Badawy, Munevver Nur Duran, Umayma Abdullatif, Serageldin Kamel, Jacob Stanietzky, Khaled M. Elsayes   +15 more
doaj   +1 more source

AI in Radiology: Navigating Medical Responsibility

Diagnostics
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 ...
Maria Teresa Contaldo, Giovanni Pasceri, Giacomo Vignati, Laura Bracchi, Sonia Triggiani, Gianpaolo Carrafiello   +5 more
doaj   +3 more sources

Towards Generalist Foundation Model for Radiology [PDF]

arXiv.org, 2023
In this study, we aim to initiate the development of Radiology Foundation Model, termed as RadFM. We consider the construction of foundational models from three perspectives, namely, dataset construction, model design, and thorough evaluation.
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie   +4 more
semanticscholar   +1 more source

Chongqing expert consensus on radiological examination and diagnostic criteria for SARS-CoV-2 lung infection

陆军军医大学学报, 2023
As the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continued to spread and mutate, our national epidemic prevention and control has entered a new stage since November 2022, and the Diagnosis and Treatment Protocol for SARS-CoV-2 ...
Cardiothoracic Group of Radiology Branch of Chongqing Medical Association, Chongqing Quality Control Center for Medical Imaging
doaj   +1 more source

A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation

International Journal of Interactive Multimedia and Artificial Intelligence, 2021
Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required.
Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Javier Bajo   +3 more
doaj   +1 more source

Computational Phantoms for Medical Radiology

Medical Radiology and radiation safety, 2022
This paper provides a brief overview of the computational anthropomorphic phantoms development for research in medical imaging, radiation dosimetry and radiotherapy planning.
N. Denisova
semanticscholar   +1 more source

Medical Radiology in Norway [PDF]

Acta Radiologica, 1996
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
openaire   +3 more sources