Artificial Intelligence in Interventional Radiology: A Literature Review and Future Perspectives
Joint Authors
Valentini, Vincenzo
Iezzi, Roberto
Goldberg, S. N.
Merlino, B.
Posa, A.
Manfredi, R.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-03
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The term “artificial intelligence” (AI) includes computational algorithms that can perform tasks considered typical of human intelligence, with partial to complete autonomy, to produce new beneficial outputs from specific inputs.
The development of AI is largely based on the introduction of artificial neural networks (ANN) that allowed the introduction of the concepts of “computational learning models,” machine learning (ML) and deep learning (DL).
AI applications appear promising for radiology scenarios potentially improving lesion detection, segmentation, and interpretation with a recent application also for interventional radiology (IR) practice, including the ability of AI to offer prognostic information to both patients and physicians about interventional oncology procedures.
This article integrates evidence-reported literature and experience-based perceptions to assist not only residents and fellows who are training in interventional radiology but also practicing colleagues who are approaching to locoregional mini-invasive treatments.
American Psychological Association (APA)
Iezzi, Roberto& Goldberg, S. N.& Merlino, B.& Posa, A.& Valentini, Vincenzo& Manfredi, R.. 2019. Artificial Intelligence in Interventional Radiology: A Literature Review and Future Perspectives. Journal of Oncology،Vol. 2019, no. 2019, pp.1-5.
https://search.emarefa.net/detail/BIM-1184394
Modern Language Association (MLA)
Iezzi, Roberto…[et al.]. Artificial Intelligence in Interventional Radiology: A Literature Review and Future Perspectives. Journal of Oncology No. 2019 (2019), pp.1-5.
https://search.emarefa.net/detail/BIM-1184394
American Medical Association (AMA)
Iezzi, Roberto& Goldberg, S. N.& Merlino, B.& Posa, A.& Valentini, Vincenzo& Manfredi, R.. Artificial Intelligence in Interventional Radiology: A Literature Review and Future Perspectives. Journal of Oncology. 2019. Vol. 2019, no. 2019, pp.1-5.
https://search.emarefa.net/detail/BIM-1184394
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184394