Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage

W Ma, C Chen, Y Gong, NY Chan… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Aneurysmal subarachnoid hemorrhage is a serious medical emergency of brain that has
high mortality and poor prognosis. Treatment effect estimation is of high clinical significance …

Elevated cortical blood flow insufficiency volume as a predictor of adverse outcomes in aneurysmal subarachnoid hemorrhage: a large prospective quantitative …

T Li, J Lu, R Li, F Lin, Y Chen, J Yang, H Han… - European Journal of …, 2024 - Elsevier
Purpose Early hypoperfusion changes exist in patients with aneurysmal subarachnoid
hemorrhage (aSAH). We aimed to investigate a readily obtainable quantitative computed …

Early and delayed blood-brain barrier permeability predicts delayed cerebral ischemia and outcomes following aneurysmal subarachnoid hemorrhage

C Zhang, W Tang, L Cheng, C Yang, T Wang… - European …, 2024 - Springer
Objectives This study aimed to monitor blood-brain barrier permeability within 24 h and
during the delayed cerebral ischemia (DCI) time window (DCITW) spanning 4–14 days after …

[HTML][HTML] Predicting the 90-day prognosis of stereotactic brain hemorrhage patients by multiple machine learning using radiomic features combined with clinical …

J Li, C Liang, J Dang, Y Zhang, H Chen, X Yan… - Frontiers in …, 2024 - frontiersin.org
Hypertensive Intracerebral Hemorrhage (HICH) is one of the most common types of cerebral
hemorrhage with a high mortality and disability rate. Currently, preoperative non-contrast …

Artificial intelligence and its role in developing predictive prognostic models for patients with Aneurysmal Subarachnoid Hemorrhage: a systematic review

MM Arshad - Next Research, 2024 - Elsevier
The addition of machine learning (ML) models into the forecast of outcomes for patients with
aneurysmal subarachnoid hemorrhage (aSAH) holds massive potential. Latest studies have …