Artificial Intelligence Applications to Improve Risk Prediction Tools in Electrophysiology
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DOI: 10.1007/s12170-020-00649-1
Abstract: Purpose of Review Artificial intelligence (AI) is an aspect of computer technology that imitates the ability of the human mind to analyze data. Over the last few years, there has been a paradigm shift in… read more here.
Keywords: intelligence; risk; intelligence applications; artificial intelligence ... See more keywords
Artificial intelligence applications in supply chain management
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DOI: 10.1016/j.ijpe.2021.108250
Abstract: Abstract This paper presents a systematic review of studies related to artificial intelligence (AI) applications in supply chain management (SCM). Our systematic search of the related literature identifies 150 journal articles published between 1998 and… read more here.
Keywords: artificial intelligence; intelligence applications; supply chain; chain management ... See more keywords
Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen.
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DOI: 10.1016/j.rcl.2021.07.001
Abstract: Organ segmentation, chest radiograph classification, and lung and liver nodule detections are some of the popular artificial intelligence (AI) tasks in chest and abdominal radiology due to the wide availability of public datasets. AI algorithms… read more here.
Keywords: clinical artificial; intelligence applications; radiology; artificial intelligence ... See more keywords
Current state of artificial intelligence applications in ophthalmology and their potential to influence clinical practice
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DOI: 10.1080/23311916.2021.1920707
Abstract: Artificial intelligence (AI) has emerged as a major frontier in healthcare and finds broad range of applications. It has the potential to revolutionize current procedures of disease diagnosis and t... read more here.
Keywords: intelligence applications; ophthalmology; current state; state artificial ... See more keywords
Artificial Intelligence Applications in Stroke.
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DOI: 10.1161/strokeaha.119.027479
Abstract: Management of stroke highly depends on information from imaging studies. Noncontrast computed tomography (CT) and magnetic resonance imaging (MRI) can both be used to distinguish between ischemic and hemorrhagic stroke, which is difficult based on… read more here.
Keywords: artificial intelligence; stroke imaging; intelligence applications; applications stroke ... See more keywords
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects
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DOI: 10.2196/36490
Abstract: Background Machine learning (ML) and deep learning (DL) methods have recently garnered a great deal of attention in the field of cancer research by making a noticeable contribution to the growth of predictive medicine and… read more here.
Keywords: artificial intelligence; hematology; intelligence applications; hematology management ... See more keywords
Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers
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DOI: 10.3390/curroncol30030260
Abstract: Cancer significantly contributes to global mortality, with 9.3 million annual deaths. To alleviate this burden, the utilization of artificial intelligence (AI) applications has been proposed in various domains of oncology. However, the potential applications of… read more here.
Keywords: cross sectional; artificial intelligence; survey; intelligence applications ... See more keywords
PET-based artificial intelligence applications in cardiac nuclear medicine.
Sign Up to like & getrecommendations! Published in 2022 at "Swiss medical weekly"
DOI: 10.4414/smw.2022.w30123
Abstract: In the recent years, artificial intelligence (AI) applications have gained interest in the field of cardiovascular medical imaging, including positron emission tomography (PET). The use of AI in cardiac PET imaging is to date limited,… read more here.
Keywords: medicine; artificial intelligence; pet based; pet ... See more keywords