Artificial Intelligence Prediction Model of Occurrence of Cerebral Vasospasms Based on Machine Learning

From our data, we may believe that the algorithm presented can help in identifying patients with SAH who are at "high" or "low" risk of developing symptomatic vasospasms. This risk balancing might further allow the treating physician to go for an earlier intervention trying to prevent permanent sequelae. Certainly, accuracy will improve with a higher caseload and more statistical coefficients.

Authors

Boris El Hamalawi
Robert Sarge
Konstantinos Lintas (ORCID: https://orcid.org/0000-0003-0229-0139)
Oliver Mueller (ORCID: https://orcid.org/0000-0003-4690-370X)
Anna Mpoukouvala
Stefan Rohde

Institutions

Witten/Herdecke University (DE)
Aristotle University of Thessaloniki (GR)
Klinikum Dortmund (DE)

Publication Details

Journal: Journal of Neurological Surgery Part A Central European Neurosurgery
Published: 2024-08-23
DOI: https://doi.org/10.1055/a-2402-6136
Citations: 3
Primary Topic: Intracranial Aneurysms: Treatment and Complications
Type: article
Field-Weighted Citation Impact: 1.11

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article

Artificial Intelligence Prediction Model of Occurrence of Cerebral Vasospasms Based on Machine Learning

Boris El Hamalawi, Robert Sarge, Konstantinos Lintas, Oliver Mueller et al.

Aug 23, 2024

3 citations

Journal of Neurological Surgery Part A Central European Neurosurgery

Intracranial Aneurysms: Treatment and Complications

1.11

article

Artificial Intelligence Prediction Model of Occurrence of Cerebral Vasospasms Based on Machine Learning

Boris El Hamalawi, Robert Sarge, Konstantinos Lintas, Oliver Mueller, Anna Mpoukouvala, Stefan Rohde

August 23, 2024article en

3 citations

Abstract

From our data, we may believe that the algorithm presented can help in identifying patients with SAH who are at "high" or "low" risk of developing symptomatic vasospasms. This risk balancing might further allow the treating physician to go for an earlier intervention trying to prevent permanent sequelae. Certainly, accuracy will improve with a higher caseload and more statistical coefficients.

Journal of Neurological Surgery Part A Central European NeurosurgeryVol. 86(02)

Witten/Herdecke University (DE), Aristotle University of Thessaloniki (GR), Klinikum Dortmund (DE)

Good health and well-being

Openalex Percentile: Top 21%

Intracranial Aneurysms: Treatment and Complications

1.11

DOI Source OpenAlex

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Artificial Intelligence Prediction Model of Occurrence of Cerebral Vasospasms Based on Machine Learning — Boris El Hamalawi, Robert Sarge, et al. · Journal of Neurological Surgery Part A Central European Neurosurgery (2024) | TGRS Research Map | TGRS