AIMC Topic: Intracranial Hemorrhage, Hypertensive

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A Comparative Study of a Nomogram and Machine Learning Models in Predicting Early Hematoma Expansion in Hypertensive Intracerebral Hemorrhage.

Academic radiology Jun 26, 2024
RATIONALE AND OBJECTIVES: Early identification for hematoma expansion can help improve patient outcomes. Presently, there are many methods to predict hematoma expansion. This study compared a variety of models to find a model suitable for clinical pr...
Nomograms Hematoma Male Middle Aged Intracranial Hemorrhage, Hypertensive Machine Learning Tomography, X-Ray Computed Female Aged Humans
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Predicting postoperative rehemorrhage in hypertensive intracerebral hemorrhage using noncontrast CT radiomics and clinical data with an interpretable machine learning approach.

Scientific reports Apr 27, 2024
In hypertensive intracerebral hemorrhage (HICH) patients, while emergency surgeries effectively reduce intracranial pressure and hematoma volume, their significant risk of causing postoperative rehemorrhage necessitates early detection and management...
Retrospective Studies Tomography, X-Ray Computed Prognosis Radiomics Male Female Aged Humans Machine Learning Intracranial Hemorrhage, Hypertensive Middle Aged
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Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage.

World neurosurgery Oct 26, 2023
OBJECTIVE: To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with stereotactic drainage on prognosis of basal ganglia hypertensive intracerebral hemorrhage (HICH).
Intracranial Hemorrhage, Hypertensive Basal Ganglia Hemorrhage Hematoma Basal Ganglia Robotics Prognosis Retrospective Studies Female Infant, Newborn Humans China Treatment Outcome Cerebral Hemorrhage Drainage Adult Endoscopy Middle Aged
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Blood Pressure Model Based on Hybrid Feature Convolution Neural Network in Promoting Rehabilitation of Patients with Hypertensive Intracerebral Hemorrhage.

Computational and mathematical methods in medicine Dec 7, 2021
OBJECTIVE: Accurate prediction of the rise of blood pressure is essential for the hypertensive intracerebral hemorrhage. This study uses the hybrid feature convolution neural network to establish the blood pressure model instead of the traditional me...
Intracranial Hemorrhage, Hypertensive Models, Cardiovascular Middle Aged Computational Biology Male Pulse Wave Analysis Recurrence Blood Pressure Antihypertensive Agents Algorithms Female Aged Adult Neural Networks, Computer Humans Machine Learning
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Knowledge Graph-Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation.

Journal of medical Internet research Jun 12, 2025
BACKGROUND: Although much progress has been made in artificial intelligence (AI), several challenges remain substantial obstacles to the development and translation of AI systems into clinical practice. Even large language models, which show excellen...
Humans Deep Learning Intracranial Hemorrhage, Hypertensive
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