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Review ArticleREVIEW ARTICLE
Open Access

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
American Journal of Neuroradiology March 2020, DOI: https://doi.org/10.3174/ajnr.A6468
Z. Shi
aFrom the Department of Medical Imaging (Z.S., B.H., Q.Q.N., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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B. Hu
aFrom the Department of Medical Imaging (Z.S., B.H., Q.Q.N., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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U.J. Schoepf
bDivision of Cardiovascular Imaging (U.J.S., R.H.S., D.M.D.), Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
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R.H. Savage
bDivision of Cardiovascular Imaging (U.J.S., R.H.S., D.M.D.), Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
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D.M. Dargis
bDivision of Cardiovascular Imaging (U.J.S., R.H.S., D.M.D.), Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
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C.W. Pan
cDeepWise AI Lab (C.W.P., X.L.L.), Beijing, China
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X.L. Li
cDeepWise AI Lab (C.W.P., X.L.L.), Beijing, China
dPeng Cheng Laboratory (X.L.L.), Vanke Cloud City Phase I, Nanshan District, Shenzhen, Guangdong, China.
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Q.Q. Ni
aFrom the Department of Medical Imaging (Z.S., B.H., Q.Q.N., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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G.M. Lu
aFrom the Department of Medical Imaging (Z.S., B.H., Q.Q.N., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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L.J. Zhang
aFrom the Department of Medical Imaging (Z.S., B.H., Q.Q.N., G.M.L., L.J.Z.), Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
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Figures

  • FIG 1.
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    FIG 1.

    Various phases of intracranial aneurysm management. They include the procedures of detection and prediction.

  • FIG 2.
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    FIG 2.

    The starting point is high quality data—imaging findings are best contextualized with patients, medical records, and “big data.” Computational methods may be supervised, unsupervised, or combined. Imaging applications include quantification, notification tools, and diagnostic and risk predictions. Adapted with permission from Dey et al10 with partial revisions.

  • FIG 3.
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    FIG 3.

    An ideal auto system for intelligent management of intracranial aneurysms. This auto AI system includes the episodes of aneurysm ranging from the detection of SAH and aneurysms to the automatic computation of hemodynamics, dimension index, and clinical decision system.

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Cite this article
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, L.J. Zhang
Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives
American Journal of Neuroradiology Mar 2020, DOI: 10.3174/ajnr.A6468

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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, L.J. Zhang
American Journal of Neuroradiology Mar 2020, DOI: 10.3174/ajnr.A6468
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