These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
142 related articles for article (PubMed ID: 39088154)
1. Revolutionizing Aneurysm detection: The role of artificial intelligence in reducing rupture rates. Akhtar M; Farooqi HA; Nabi R Neurosurg Rev; 2024 Aug; 47(1):391. PubMed ID: 39088154 [TBL] [Abstract][Full Text] [Related]
2. Advancing aneurysm management: the potential of AI and machine learning in enhancing safety and predictive accuracy. Akhtar M; Farooqi HA; Nabi R; Hasan H Neurosurg Rev; 2024 Aug; 47(1):432. PubMed ID: 39141147 [TBL] [Abstract][Full Text] [Related]
3. A 54-year-old man with 12 intracranial aneurysms and familial subarachnoid hemorrhage: case report. Hosainey SA; Meling TR Neurosurg Rev; 2016 Oct; 39(4):711-6. PubMed ID: 27452953 [TBL] [Abstract][Full Text] [Related]
4. Declining trend in the estimated annual rupture rate of unruptured cerebral aneurysms in Japan: a nationwide study. Maeda Y; Ikawa F; Kuwabara M; Hosogai M; Ishii D; Morimoto T; Nakayama T; Suzuki M; Horie N Neurosurg Rev; 2024 Jul; 47(1):336. PubMed ID: 39014278 [TBL] [Abstract][Full Text] [Related]
5. A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques. Nafees Ahmed S; Prakasam P Prog Biophys Mol Biol; 2023 Oct; 183():1-16. PubMed ID: 37499766 [TBL] [Abstract][Full Text] [Related]
6. Therapeutic decision and management of aneurysmal subarachnoid haemorrhage based on computed tomographic angiography. Dehdashti AR; Rufenacht DA; Delavelle J; Reverdin A; de Tribolet N Br J Neurosurg; 2003 Feb; 17(1):46-53. PubMed ID: 12779201 [TBL] [Abstract][Full Text] [Related]
7. [A Case of Subarachnoid Hemorrhage with Multiple Cerebral Aneurysms with a Difficult-to-Identify Rupture Site]. Watanabe D; Yanaka K; Nakamura K; Yamamoto T; Matsumura A No Shinkei Geka; 2017 Apr; 45(4):351-354. PubMed ID: 28415061 [No Abstract] [Full Text] [Related]
8. Fusion of subarachnoid hemorrhage data and computed tomography angiography data is helpful to identify the rupture source in patients with multiple intracranial aneurysms. Yao A; Jia L; Li J; Wang B; Zhang J; Xue Z; Zhao K; Zhao Y; You N; Zhang J; Xu B Neurosurg Rev; 2021 Jun; 44(3):1411-1416. PubMed ID: 32506389 [TBL] [Abstract][Full Text] [Related]
9. Comprehensive review of imaging of intracranial aneurysms and angiographically negative subarachnoid hemorrhage. Howard BM; Hu R; Barrow JW; Barrow DL Neurosurg Focus; 2019 Dec; 47(6):E20. PubMed ID: 31786554 [TBL] [Abstract][Full Text] [Related]
10. [Magnetic resonance vessel wall imaging reveals rupture site in subarachnoid hemorrhage with multiple cerebral aneurysms]. Kondo R; Yamaki T; Mouri W; Sato S; Saito S; Nagahata M; Nagahata S; Kayama T No Shinkei Geka; 2014 Dec; 42(12):1147-50. PubMed ID: 25433063 [TBL] [Abstract][Full Text] [Related]
11. Cost-effectiveness analysis of screening for asymptomatic, unruptured intracranial aneurysms. A mathematical model. Yoshimoto Y; Wakai S Stroke; 1999 Aug; 30(8):1621-7. PubMed ID: 10436111 [TBL] [Abstract][Full Text] [Related]
13. Clinical features of intracranial aneurysms in siblings. Kasuya H; Onda H; Takeshita M; Hori T; Takakura K Neurosurgery; 2000 Jun; 46(6):1301-5; discussion 1305-6. PubMed ID: 10834635 [TBL] [Abstract][Full Text] [Related]
14. A review of size and location of ruptured intracranial aneurysms. Forget TR; Benitez R; Veznedaroglu E; Sharan A; Mitchell W; Silva M; Rosenwasser RH Neurosurgery; 2001 Dec; 49(6):1322-5; discussion 1325-6. PubMed ID: 11846931 [TBL] [Abstract][Full Text] [Related]
15. Computed tomographic angiography versus digital subtraction angiography for the diagnosis and early treatment of ruptured intracranial aneurysms. Anderson GB; Steinke DE; Petruk KC; Ashforth R; Findlay JM Neurosurgery; 1999 Dec; 45(6):1315-20; discussion 1320-2. PubMed ID: 10598698 [TBL] [Abstract][Full Text] [Related]
16. [Treatment of intracranial aneurysms during pregnancy]. Mosiewicz A; Jakiel G; Janusz W; Markiewicz P Ginekol Pol; 2001 Feb; 72(2):86-92. PubMed ID: 11387996 [TBL] [Abstract][Full Text] [Related]
17. Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture. Silva MA; Patel J; Kavouridis V; Gallerani T; Beers A; Chang K; Hoebel KV; Brown J; See AP; Gormley WB; Aziz-Sultan MA; Kalpathy-Cramer J; Arnaout O; Patel NJ World Neurosurg; 2019 Nov; 131():e46-e51. PubMed ID: 31295616 [TBL] [Abstract][Full Text] [Related]
18. [Ruptured Aneurysm of Bihemispheric Anterior Cerebral Artery A1-A2 junction:A Case Report]. Shimooka N; Ishida S; Kawai M No Shinkei Geka; 2017 Mar; 45(3):253-257. PubMed ID: 28297692 [TBL] [Abstract][Full Text] [Related]
19. Toward Grading Subarachnoid Hemorrhage Risk Prediction: A Machine Learning-Based Aneurysm Rupture Score. Malik K; Alam F; Santamaria J; Krishnamurthy M; Malik G World Neurosurg; 2023 Apr; 172():e19-e38. PubMed ID: 36410705 [TBL] [Abstract][Full Text] [Related]
20. [Review of cases of ruptured cerebral aneurysm with a history of examination at our institution prior to the diagnosis of subarachnoid hemorrhage--in order to improve treatment outcome in patients with intracranial aneurysms]. Magarisawa S; Suzuki A; Yasui N No To Shinkei; 1994 Apr; 46(4):341-7. PubMed ID: 8024833 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]