[HTML][HTML] Current perspectives and trends in the treatment of brain arteriovenous malformations: a review and bibliometric analysis
W Tang, Y Chen, L Ma, Y Chen, B Yang, R Li… - Frontiers in …, 2024 - frontiersin.org
Background Currently, there is a lack of intuitive analysis regarding the development trend,
main authors, and research hotspots in the field of cerebral arteriovenous malformation …
main authors, and research hotspots in the field of cerebral arteriovenous malformation …
Application of artificial intelligence to stereotactic radiosurgery for intracranial lesions: detection, segmentation, and outcome prediction
Background Rapid evolution of artificial intelligence (AI) prompted its wide application in
healthcare systems. Stereotactic radiosurgery served as a good candidate for AI model …
healthcare systems. Stereotactic radiosurgery served as a good candidate for AI model …
The current landscape of machine learning-based radiomics in arteriovenous malformations: a systematic review and radiomics quality score assessment
AA Grossen, AR Evans, GL Ernst, CC Behnen… - Frontiers in …, 2024 - frontiersin.org
Background Arteriovenous malformations (AVMs) are rare vascular anomalies involving a
disorganization of arteries and veins with no intervening capillaries. In the past 10 years …
disorganization of arteries and veins with no intervening capillaries. In the past 10 years …
Long-term outcome of a tailored embolization strategy with Gamma Knife radiosurgery for high-grade brain arteriovenous malformations: a single-center experience
H Jiang, X Tang, R Weng, W Ni, Y Li, J Su… - Journal of …, 2022 - thejns.org
OBJECTIVE The safety and efficacy of embolization with Gamma Knife radiosurgery (GKRS)
for high-grade brain arteriovenous malformations (bAVMs) are uncertain. The purpose of …
for high-grade brain arteriovenous malformations (bAVMs) are uncertain. The purpose of …
Application of artificial intelligence in brain arteriovenous malformations: Angioarchitectures, clinical symptoms and prognosis prediction
X Li, S Xiang, G Li - Interventional Neuroradiology, 2024 - journals.sagepub.com
Background Artificial intelligence (AI) has rapidly advanced in the medical field, leveraging
its intelligence and automation for the management of various diseases. Brain arteriovenous …
its intelligence and automation for the management of various diseases. Brain arteriovenous …
[HTML][HTML] Machine Learning Approach for Analyzing 3-Year Outcomes of Patients with Brain Arteriovenous Malformation (AVM) after Stereotactic Radiosurgery (SRS)
MJ Rodríguez Mallma, M Vilca-Aguilar… - Diagnostics, 2023 - mdpi.com
A cerebral arteriovenous malformation (AVM) is a tangle of abnormal blood vessels that
irregularly connects arteries and veins. Stereotactic radiosurgery (SRS) has been shown to …
irregularly connects arteries and veins. Stereotactic radiosurgery (SRS) has been shown to …
[HTML][HTML] Feature Analysis of Predictors Affecting the Nidus Obliteration of Linear Accelerator-Based Radiosurgery for Arteriovenous Malformations Using Explainable …
KH Kim, MJ Sohn - Applied Sciences, 2023 - mdpi.com
This study aimed to evaluate prognostic factors associated with nidus obliteration following
stereotactic radiosurgery (SRS) for cerebral arteriovenous malformations. From January …
stereotactic radiosurgery (SRS) for cerebral arteriovenous malformations. From January …
Machine Learning And Risk Prediction Tools In Neurosurgery: A Rapid Review
J Sherman - 2024 - elischolar.library.yale.edu
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) techniques have
become highly visible in society and medicine, with some AI/ML-enabled devices receiving …
become highly visible in society and medicine, with some AI/ML-enabled devices receiving …
[PDF][PDF] Artificial Intelligence in Healthcare: 2022 Year in Review
MSC Raghav Awasthi, JB Cywinski, AK Khanna… - researchgate.net
The purpose of this review is to provide a comprehensive review of publications related to
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …