AIMC Topic: Cerebral Hemorrhage

Clear Filters Showing 21 to 30 of 158 articles

Deep Learning Approaches for the Assessment of Germinal Matrix Hemorrhage Using Neonatal Head Ultrasound.

Sensors (Basel, Switzerland) Oct 31, 2024
Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagnosed through cranial ultrasound imaging. This study presents an advanced deep learning approach for automated GMH grading using the YOLOv8 model. By a...
Cerebral Hemorrhage Head Infant, Premature Humans Female Infant, Newborn Male Deep Learning Ultrasonography
View on PubMed DOI

Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter Study.

Academic radiology Oct 28, 2024
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications in patients with acute ischemic stroke (AIS) following reperfusion therapy. The purpose of this study is to develop and validate deep learning (DL) mod...
Ischemic Stroke Retrospective Studies Humans Stroke Male Tomography, X-Ray Computed Reperfusion Middle Aged Female Computed Tomography Angiography Deep Learning Aged Cerebral Hemorrhage
View on PubMed DOI

Using Natural Language Processing (GPT-4) for Computed Tomography Image Analysis of Cerebral Hemorrhages in Radiology: Retrospective Analysis.

Journal of medical Internet research Sep 26, 2024
BACKGROUND: Cerebral hemorrhage is a critical medical condition that necessitates a rapid and precise diagnosis for timely medical intervention, including emergency operation. Computed tomography (CT) is essential for identifying cerebral hemorrhage,...
Retrospective Studies Tomography, X-Ray Computed Cerebral Hemorrhage Natural Language Processing Humans
View on PubMed DOI

Real-world application of a 3D deep learning model for detecting and localizing cerebral microbleeds.

Acta neurochirurgica Sep 26, 2024
BACKGROUND: Detection and localization of cerebral microbleeds (CMBs) is crucial for disease diagnosis and treatment planning. However, CMB detection is labor-intensive, time-consuming, and challenging owing to its visual similarity to mimics. This s...
Cerebral Hemorrhage Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Female Aged Male
View on PubMed DOI

Predicting Outcomes of Preterm Neonates Post Intraventricular Hemorrhage.

International journal of molecular sciences Sep 25, 2024
Intraventricular hemorrhage (IVH) in preterm neonates presents a high risk for developing posthemorrhagic ventricular dilatation (PHVD), a severe complication that can impact survival and long-term outcomes. Early detection of PHVD before clinical on...
Longitudinal Studies Cerebral Hemorrhage Infant, Premature Infant, Newborn Humans Male Machine Learning Proteomics Prospective Studies Biomarkers Prognosis Female
View on PubMed DOI

A comprehensive comparison of machine learning models for ICH prognostication: Retrospective review of 1501 intra-cerebral hemorrhage patients from the Qatar stroke database.

Neurosurgical review Sep 24, 2024
Multiple prognostic scores have been developed to predict morbidity and mortality in patients with spontaneous intracerebral hemorrhage(sICH). Since the advent of machine learning(ML), different ML models have also been developed for sICH prognostica...
Humans Machine Learning Databases, Factual Adult Male Middle Aged Cerebral Hemorrhage Prognosis Retrospective Studies Female Aged Stroke Qatar
View on PubMed DOI

Factors associated with 90-day mortality in Vietnamese stroke patients: Prospective findings compared with explainable machine learning, multicenter study.

PloS one Sep 20, 2024
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage have not been well established among patients in Vietnam. 2885 consecutive diagnosed patients with ischemic stroke and intracerebral hemorrhage at ten...
Male Prognosis Humans Middle Aged Stroke Female Machine Learning Cerebral Hemorrhage Atrial Fibrillation Risk Factors Ischemic Stroke Vietnam Aged Southeast Asian People Prospective Studies
View on PubMed DOI

Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 5, 2024
Spontaneous intracerebral hemorrhage (ICH) is a type of stroke less prevalent than ischemic stroke but associated with high mortality rates. Hematoma expansion (HE) is an increase in the bleeding that affects 30%-38% of hemorrhagic stroke patients. I...
Radiographic Image Interpretation, Computer-Assisted Hematoma Tomography, X-Ray Computed Male Deep Learning Humans Cerebral Hemorrhage
View on PubMed DOI

Hybrid clinical-radiomics model based on fully automatic segmentation for predicting the early expansion of spontaneous intracerebral hemorrhage: A multi-center study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 31, 2024
BACKGROUND: Early prediction of hematoma expansion (HE) is important for the development of therapeutic strategies for spontaneous intracerebral hemorrhage (sICH). Radiomics can help to predict early hematoma expansion in intracerebral hemorrhage. Ho...
Reproducibility of Results Risk Factors Aged Aged, 80 and over Radiomics Male Middle Aged Risk Assessment Hematoma Prognosis Nomograms Retrospective Studies Automation Cerebral Hemorrhage Disease Progression Tomography, X-Ray Computed Humans Predictive Value of Tests Deep Learning Female Decision Support Techniques Radiographic Image Interpretation, Computer-Assisted China Time Factors
View on PubMed DOI

Identification of immune-related biomarkers for intracerebral hemorrhage diagnosis based on RNA sequencing and machine learning.

Frontiers in immunology Aug 30, 2024
BACKGROUND: Intracerebral hemorrhage (ICH) is a severe stroke subtype with high morbidity, disability, and mortality rates. Currently, no biomarkers for ICH are available for use in clinical practice. We aimed to explore the roles of RNAs in ICH path...
Biomarkers Cerebral Hemorrhage Case-Control Studies Female RNA, Messenger Humans Aged Male Sequence Analysis, RNA Machine Learning Middle Aged Animals RNA, Long Noncoding Gene Expression Profiling Macrophages Transcriptome
View on PubMed DOI
Popular Topics
Recent Journals