Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis
Background Subarachnoid hemorrhage from cerebral aneurysm rupture is a major cause of
morbidity and mortality. Early aneurysm identification, aided by automated systems, may …
morbidity and mortality. Early aneurysm identification, aided by automated systems, may …
[HTML][HTML] Charting the potential of brain computed tomography deep learning systems
Brain computed tomography (CTB) scans are widely used to evaluate intracranial pathology.
The implementation and adoption of CTB has led to clinical improvements. However …
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 …
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 …
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
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 …
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
Intracranial aneurysm (IA) is an enormous threat to human health, which often results in
nontraumatic subarachnoid hemorrhage or dismal prognosis. Diagnosing IAs on commonly …
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 …
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 …
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
Background: Subarachnoid hemorrhage resulting from cerebral aneurysm rupture is a
significant cause of morbidity and mortality. Early identification of aneurysms on Computed …
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
Intracranial Aneurysms (IA) present a complex challenge for neurosurgeons as the risks
associated with surgical intervention, such as Subarachnoid Hemorrhage (SAH) mortality …
associated with surgical intervention, such as Subarachnoid Hemorrhage (SAH) mortality …