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Artificial Intelligence in Radiology: Augmentation, Not Replacement. [PDF]
Krishna Nk R, R S A, K S.
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Brain imaging findings in lipoid proteinosis (Urbach-Wiethe disease). [PDF]
Tsochatzis A+5 more
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Radiology, 2023
Background ChatGPT is a powerful artificial intelligence large language model with great potential as a tool in medical practice and education, but its performance in radiology remains unclear.
Rajesh Bhayana, S. Krishna, R. Bleakney
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Background ChatGPT is a powerful artificial intelligence large language model with great potential as a tool in medical practice and education, but its performance in radiology remains unclear.
Rajesh Bhayana, S. Krishna, R. Bleakney
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Brief Dictionary of Discussion Terms on Medical Radiology, Radiation Safety and Medical Physics
Medical Radiology and radiation safety, 2018A critical analysis of terms and concepts in medical radiology, radiation safety and medical physics in a multilingual dictionary developed within the framework of the international project EMITEL2 and included in the Encyclopedia of Medical Physics ...
Б. Наркевич+5 more
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Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation
arXiv.orgMultimodal foundation models hold significant potential for automating radiology report generation, thereby assisting clinicians in diagnosing cardiac diseases. However, generated reports often suffer from serious factual inaccuracy.
Liwen Sun+3 more
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Physics in Medical Radiology [PDF]
Medical radiology is the branch of medicine concerned with the application of ionizing radiation in diagnosis and therapy. In November 1895 Wilhelm Conrad Roentgen, Professor of Physics in the University of Wurzburg in Bavaria, discovered x rays; the act of discovery involved at a very early stage the visualization of the bones of his own hands, and of
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MEDICAL MANAGEMENT OF RADIOLOGICAL CASUALTIES
Health Physics, 2005Victims of radiological terrorism events require prompt diagnosis and treatment of medical and surgical conditions as well as conditions related to radiation exposure. Hospital emergency personnel should triage victims using traditional medical and trauma criteria.
Jamie K. Waselenko, Ronald E. Goans
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CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
International Conference on Medical Image Computing and Computer-Assisted InterventionMedical imaging plays a crucial role in diagnosis, with radiology reports serving as vital documentation. Automating report generation has emerged as a critical need to alleviate the workload of radiologists. While machine learning has facilitated report
Ibrahim Ethem Hamamci+2 more
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