To be trustfully adopted, AI needs to be lawful, ethical and robust. "Artificial intelligence in radiology: the ecosystem essential to improving patient care." 0000008088 00000 n 0000057457 00000 n Sections. 43 “Clinical Acceptance of Software Based on Artificial Intelligence Technologies (Radiology)” (recommended by the Expert Council for Science of the Moscow Health Care Department, Protocol No. 617 0 obj <>stream 0000058032 00000 n The rapid development of artificial intelligence (AI) has led to its widespread use in multiple industries, including healthcare. 0000023325 00000 n automatic detection and measurements of imaging features (biomarkers) to assist with diagnosis, such as lung density, breast density, analysis of coronary and peripheral vessels, etc. 0000014630 00000 n 0000056035 00000 n How/Where can it be useful? Artificial intelligence applications in radiology should be designed in a way that reflects both principles and improves individual and collective well-being. 0000001816 00000 n PDF | On Dec 14, 2019, Abdulwahab F. Alahmari published Artificial Intelligence in Radiology | Find, read and cite all the research you need on ResearchGate Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. 0000027130 00000 n Original Research. AI will know. 0000016568 00000 n Artificial Intelligence (AI) is a burning topic and is at the core of many recent technological breakthroughs and will undoubtedly impact healthcare .Over the recent years, there was an exponential growth in the number of articles about AI in radiology, with an increased rate, from 100–150 to 700–800 scientific publications per year during the last decade . Springer, Cham, 2019. Next. It is therefore the aim of this article to explain the most basic principles of artificial intelligence, accentuating the most prominent concepts used in radiology today, such as deep learning and neural networks. 0000003833 00000 n 0000004387 00000 n 0000004110 00000 n Some of the questions I get asked are: Is AI replacing DOCTORS? Sections. 0000013875 00000 n 0000022278 00000 n 0000057870 00000 n Report on preliminary clinical and technical tests performed in accordance with Guidelines No. 0000056426 00000 n 542 76 Held to the same high editorial standards as Radiology, Radiology: Artificial Intelligence highlights the emerging applications of machine learning and artificial intelligence in the field of imaging across multiple disciplines. ��|7O�n����%d����>yS�yN�v��ujZ?7��'U��T��?t�=׌���h��w��"��:�{�,S �*̋,��xCހ��-xGށ�CR�̖Ȗ99�\��v)d[�+Y������W���rM^���o�����A� p:����A��`]Ẃu�kI\���J�+A����ʲ?��������������Q֢�E�Ud�YEV�Ud�Y�Y}��`�S�Oe]���u�=�짢�ʺu)�Rԥ�KQ�>���c�5:z:x:z:x:z:x:z:x:z:x:z:x:�9����ws�߇�������)5_g���s8V�(�����O�dB AI will figure it out. This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. 291-327. 0000008666 00000 n Artificial Intelligence for Radiology. <]/Prev 866765>> [Fig. Dentistry is no exception to this trend, and the applications of artificial intelligence are particularly promising in the field of oral and maxillofacial (OMF) radiology. iCAD. 0000019100 00000 n 0000021088 00000 n Held to the same high editorial standards as Radiology, Radiology: Artificial Intelligence highlights the emerging applications of machine learning and artificial intelligence in the field of imaging across multiple disciplines. 0000010669 00000 n 0000002790 00000 n 0000009866 00000 n "The Role of an Artificial Intelligence Ecosystem in Radiology." *{9���M�̀P�A ��>��4�0�U�����������*�2X3�01�3�d�3nf���r�9�FFQ��h9�I���7�@���=@63�40ҙdxM/A� C� Advances in computing technology have enabled new and vastly more powerful tools to be brought to bear on medical images. 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