TY - JOUR T1 - Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives JF - American Journal of Neuroradiology JO - Am. J. Neuroradiol. SP - 373 LP - 379 DO - 10.3174/ajnr.A6468 VL - 41 IS - 3 AU - Z. Shi AU - B. Hu AU - U.J. Schoepf AU - R.H. Savage AU - D.M. Dargis AU - C.W. Pan AU - X.L. Li AU - Q.Q. Ni AU - G.M. Lu AU - L.J. Zhang Y1 - 2020/03/01 UR - http://www.ajnr.org/content/41/3/373.abstract N2 - 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.AIartificial intelligenceAUCarea under the curveCADcomputer-assisted diagnosticsDLdeep learningFPfalse-positiveMLmachine learningSVMsupport vector machines ER -