Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives

Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future... REVIEW ARTICLE ADULT BRAIN Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives Z. Shi, B. Hu, U.J. Schoepf, R.H. Savage, D.M. Dargis, C.W. Pan, X.L. Li, Q.Q. Ni, G.M. Lu, and L.J. Zhang ABSTRACT SUMMARY: Intracranial aneurysms with subarachnoid hemorrhage lead to high morbidity and mortality. It is of critical importance to detect aneurysms, identify risk factors of rupture, and predict treatment response of aneurysms to guide clinical interventions. Artificial intelligence has received worldwide attention for its impressive performance in image-based tasks. Artificial intelligence serves as an adjunct to physicians in a series of clinical settings, which substantially improves diagnostic accuracy while reducing physicians’ workload. Computer- assisted diagnosis systems of aneurysms based on MRA and CTA using deep learning have been evaluated, and excellent performances have been reported. Artificial intelligence has also been used in automated morphologic calculation, rupture risk stratification, and outcomes prediction with the implementation of machine learning methods, which have exhibited incremental value. This review summarizes current advances of artificial intelligence in the management of aneurysms, including detection and prediction. The challenges and future directions of clinical implementations of artificial intelligence are briefly discussed. ABBREVIATIONS: AI ¼ artificial intelligence; AUC ¼ http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Neuroradiology American Journal of Neuroradiology

Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives

Download PDF
7 pages

Loading next page...
 
/lp/american-journal-of-neuroradiology/artificial-intelligence-in-the-management-of-intracranial-aneurysms-3Wu0BTuYBU

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
American Journal of Neuroradiology
Copyright
© 2020 by American Journal of Neuroradiology
ISSN
0195-6108
eISSN
1936-959X
DOI
10.3174/ajnr.A6468
Publisher site
See Article on Publisher Site

Abstract

REVIEW ARTICLE ADULT BRAIN Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives Z. Shi, B. Hu, U.J. Schoepf, R.H. Savage, D.M. Dargis, C.W. Pan, X.L. Li, Q.Q. Ni, G.M. Lu, and L.J. Zhang ABSTRACT SUMMARY: Intracranial aneurysms with subarachnoid hemorrhage lead to high morbidity and mortality. It is of critical importance to detect aneurysms, identify risk factors of rupture, and predict treatment response of aneurysms to guide clinical interventions. Artificial intelligence has received worldwide attention for its impressive performance in image-based tasks. Artificial intelligence serves as an adjunct to physicians in a series of clinical settings, which substantially improves diagnostic accuracy while reducing physicians’ workload. Computer- assisted diagnosis systems of aneurysms based on MRA and CTA using deep learning have been evaluated, and excellent performances have been reported. Artificial intelligence has also been used in automated morphologic calculation, rupture risk stratification, and outcomes prediction with the implementation of machine learning methods, which have exhibited incremental value. This review summarizes current advances of artificial intelligence in the management of aneurysms, including detection and prediction. The challenges and future directions of clinical implementations of artificial intelligence are briefly discussed. ABBREVIATIONS: AI ¼ artificial intelligence; AUC ¼

Journal

American Journal of Neuroradiology – American Journal of Neuroradiology

Published: Mar 1, 2020

There are no references for this article.