Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis

M Din, S Agarwal, M Grzeda, DA Wood… - Journal of …, 2023 - jnis.bmj.com
Background Subarachnoid hemorrhage from cerebral aneurysm rupture is a major cause of
morbidity and mortality. Early aneurysm identification, aided by automated systems, may …

[HTML][HTML] Charting the potential of brain computed tomography deep learning systems

QD Buchlak, MR Milne, J Seah, A Johnson… - Journal of Clinical …, 2022 - Elsevier
Brain computed tomography (CTB) scans are widely used to evaluate intracranial pathology.
The implementation and adoption of CTB has led to clinical improvements. However …

A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

Z Shi, C Miao, UJ Schoepf, RH Savage… - Nature …, 2020 - nature.com
Intracranial aneurysm is a common life-threatening disease. Computed tomography
angiography is recommended as the standard diagnosis tool; yet, interpretation can be time …

[HTML][HTML] Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician …

C Caradu, B Spampinato, AM Vrancianu… - Journal of vascular …, 2021 - Elsevier
Objective Imaging software has become critical tools in the diagnosis and decision making
for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver …

Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis

R Nader, R Bourcier, F Autrusseau - Medical image analysis, 2023 - Elsevier
Most of the intracranial aneurysms (ICA) occur on a specific portion of the cerebral vascular
tree named the Circle of Willis (CoW). More particularly, they mainly arise onto fifteen of the …

Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network

ZH Bo, H Qiao, C Tian, Y Guo, W Li, T Liang, D Li… - Patterns, 2021 - cell.com
Intracranial aneurysm (IA) is an enormous threat to human health, which often results in
nontraumatic subarachnoid hemorrhage or dismal prognosis. Diagnosing IAs on commonly …

Classification, detection, and segmentation performance of image-based AI in intracranial aneurysm: a systematic review

Z Zhou, Y Jin, H Ye, X Zhang, J Liu, W Zhang - BMC Medical Imaging, 2024 - Springer
Background The detection and management of intracranial aneurysms (IAs) are vital to
prevent life-threatening complications like subarachnoid hemorrhage (SAH). Artificial …

Deep learning in the management of intracranial aneurysms and cerebrovascular diseases: A review of the current literature

E Mensah, C Pringle, G Roberts, N Gurusinghe… - World Neurosurgery, 2022 - Elsevier
Intracranial aneurysms are a common asymptomatic vascular pathology, the rupture of
which is a devastating event with a significant risk of morbidity and mortality. Aneurysm …

A systematic review of deep-learning methods for intracranial aneurysm detection in CT angiography

Ž Bizjak, Ž Špiclin - Biomedicines, 2023 - mdpi.com
Background: Subarachnoid hemorrhage resulting from cerebral aneurysm rupture is a
significant cause of morbidity and mortality. Early identification of aneurysms on Computed …

StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm

M Irfan, KM Malik, J Ahmad, G Malik - Computerized Medical Imaging and …, 2023 - Elsevier
Intracranial Aneurysms (IA) present a complex challenge for neurosurgeons as the risks
associated with surgical intervention, such as Subarachnoid Hemorrhage (SAH) mortality …