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Artificial Intelligence (AI) in medicine has been a hot topic lately. 0000057951 00000 n
AI has the potential to be a transformative technology that will significantly impact patient care. H�\��n�0��y The article “Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine” by Koenigkam-Santos et al. 0000004664 00000 n
How will we overcome antibiotic resistance? What is on the X-ray? Conversely, there are dangers inherent in the deployment of AI in radiology, if this is done without regard to possible ethical risks. This article covers the different aspects of a safe and sustainable deployment of AI in radiology during: training, integration and regulation. S. H. Wong1 & H. Al-Hasani2 & Z. Alam3 & A. Alam3 Received: 19 February 2018/Revised: 24 June 2018/Accepted: 2 July 2018 /Published online: 19 July 2018 # European Society of Radiology 2018 Introduction Artificial intelligence (AI) has come to the forefront of con- versation amongst radiologists. Volume 2, Issue 6 / November 2020. 0000021088 00000 n
Allen, Bibb, Robert Gish, and Keith Dreyer. 0000023325 00000 n
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Volume 1, Issue 1 / January 2019 . 0000041533 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. 0000009271 00000 n
Keywords:artificial intelligence, radiology, deep learning, neural networks, radiomics, clinical appli-cation of artificial intelligence Sažetak: Otkako je prvi put upotrijebljen u medicinske svrhe, koncept umjetne inteligencije pokazao se vrlo privlačnim za zdravstvenu skrb, posebno radiologiju. (2020): A3-A6. 0000037625 00000 n
Applications of artificial intelligence (AI) in diagnostic radiology: a technography study Mohammad Hosein Rezazade Mehrizi1 & Peter van Ooijen2 & Milou Homan1 Received: 6 April 2020/Revised: 16 July 2020/Accepted: 26 August 2020 # The Author(s) 2020 Abstract Objectives Why is there a major gap betweenthe promises of AI … 0000010289 00000 n
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Artificial intelligence applications in radiology should be designed in a way that reflects both principles and improves individual and collective well-being. A white paper on Artificial Intelligence in radiology, getting over the hype The role of radiologists hasn't always been just reading and interpreting images. 0000022110 00000 n
To be trustfully adopted, AI needs to be lawful, ethical and robust. Previous. Artificial intelligence (AI), especially deep learning, has the potential to fundamentally alter clinical radiology. Sections. Volume 3, Issue 1 / Issue in Progress . 0000010197 00000 n
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What could AI do in Radiology? 0000058438 00000 n
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Keywords: artificial intelligence; radiology ethics; machine learning 1. 0000019100 00000 n
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. Some of the questions I get asked are: Is AI replacing DOCTORS? • Significant academic discussion has focused on whether AI may replace radiologists (3, 4). 0000004941 00000 n
��%4��M�C�5���ԑ��������Q1 Artificial intelligence (AI) is the new kid on the block. 0000008088 00000 n
What could AI do in Radiology? Advances in computing technology have enabled new and vastly more powerful tools to be brought to bear on medical images. Sections. 0000003972 00000 n
How/Where can it be useful? Springer, Cham, 2019. 0000015611 00000 n
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[Fig. Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. 0000027130 00000 n
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�*̋,��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 It seems like the answer to all of our problems. Volume 1, Issue 4 / July 2019. Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. 0000004248 00000 n
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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. 2] Although AI technology is meant to be broadly applicable, each modality of imaging data (radiographs, ultrasound, CT, MRI) and disease area will require development of specific strategies for optimal performance. The field of artificial intelligence (AI) offers opportunities to improve the speed, accuracy, and quality of image interpretation and diagnosis in radiology. 0000013875 00000 n
•British Radiology Artificial Intelligence Network proposed to improve access to and govern curation of anonymised NHS data. 0000053088 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 . 0000007617 00000 n
AI will figure it out. "The Role of an Artificial Intelligence Ecosystem in Radiology." 0000058356 00000 n
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Artificial Intelligence, Real Radiology. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the medical image analysis field, propelling it forward at a rapid pace. Report on preliminary clinical and technical tests performed in accordance with Guidelines No. 0000006858 00000 n
Artificial intelligence (AI) is rapidly transforming healthcare—with radiology at the pioneering forefront. %PDF-1.4
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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. Introduction The advent of artificial intelligence (AI) applications is likely to be one of the most far-reaching developments in the history of medicine, with implications for all medical specialties, and potentially for all users of healthcare services in the future. 542 76
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Artificial intelligence in radiology: how will we be affected? 0000004387 00000 n
AI should be great for that. 0000016568 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, which has been actively applied in a broad range of industries in recent years, is an active area of interest for many researchers. <]/Prev 866765>>
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Editorial. Next . 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. PDF/EPUB Abstract. õò¼Ü?|ëåçek5üë+şúëçËgå^å¾[Âú¼è_øÿÍrÿıÓ—ËÓ¿ùõoŸÖ/ÿ\ÿøyá]Üşåñ›å¶ñîùïO?>}|ûãå×ç§Ï¿ÜûÖ7o–ûé É“Ÿ–Üû–§JT×:"�íõRÖ˜7¸QIq�q«qˆ2Ÿ÷OËg[Ê^è#œfl!Õ@¡åµ”wäIÇһșƌç¥%&|Kù)×Ñs¯kL['ö,5~k‘ÿ&^šGŞà}$pÄš�wc%;ï_% ”áØ@[+{íQ[Bğ[È[oe´Zêô°o9Vl"¯—eJiÃ÷%âõ¼–ñ] Yn=Ä–pÈ°¸Œ‘QB'rYJ(l®�7Ϋ«ÜšÆùE'pÚ×™ÀÈ%œ. 0000004110 00000 n
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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. The rapid development of artificial intelligence (AI) has led to its widespread use in multiple industries, including healthcare. 0000000016 00000 n
Original Research. 0000019612 00000 n
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cccs�BY9 • Artificial intelligence (AI) continues to demonstrate significant potential for radiology. 0000058032 00000 n
"Artificial intelligence in radiology: the ecosystem essential to improving patient care." Every doctor and her/his medical student is talking about it. Sogani, Julie, et al. Editorials. 291-327. 0000057547 00000 n
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