AIMC Topic: Cerebrovascular Disorders
Clear Filters Showing 1 to 10 of 44 articles
Role of Brain Age Gap as a Mediator in the Relationship Between Cognitive Impairment Risk Factors and Cognition.
Neurology
Jun 18, 2025
BACKGROUND AND OBJECTIVES: Cerebrovascular disease (CeVD) and cognitive impairment risk factors contribute to cognitive decline, but the role of brain age gap (BAG) in mediating this relationship remains unclear, especially in Southeast Asian populat...
Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model.
JMIR medical informatics
May 30, 2025
BACKGROUND: Cardiovascular and cerebrovascular diseases significantly contribute to global mortality and disability. The shift to outpatient postoperative care, accelerated by the COVID-19 pandemic, emphasizes the need for effective management of pos...
Comparison of quality, empathy and readability of physician responses versus chatbot responses to common cerebrovascular neurosurgical questions on a social media platform.
Clinical neurology and neurosurgery
May 28, 2025
BACKGROUND: Social media platforms are utilized by patients prior to scheduling formal consultations and also serve as a means of pursuing second opinions. Cerebrovascular pathologies require regular surveillance and specialized care. In recent years...
Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images.
European journal of radiology
Apr 27, 2025
Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essential for the diagnosis and management of cerebrovascular diseases, including ischemic stroke. This study implemented a deep learning-based U-Net++ mode...
Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study.
Journal of medical Internet research
Apr 9, 2025
BACKGROUND: Considering that most patients with low or no significant risk factors can safely undergo noncardiac surgery without additional cardiac evaluation, and given the excessive evaluations often performed in patients undergoing intermediate or...
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning.
BMC medical informatics and decision making
Apr 1, 2025
BACKGROUND: Cognitive impairment is common after a stroke, but it can often go undetected. In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke.
Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.
Neuroradiology
Mar 17, 2025
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learnin...
Risk prediction for elderly cognitive impairment by radiomic and morphological quantification analysis based on a cerebral MRA imaging cohort.
European radiology
Jan 9, 2025
OBJECTIVE: To establish morphological and radiomic models for early prediction of cognitive impairment associated with cerebrovascular disease (CI-CVD) in an elderly cohort based on cerebral magnetic resonance angiography (MRA).
Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease.
Stroke and vascular neurology
Dec 30, 2024
BACKGROUND AND OBJECTIVE: The injury of the cholinergic white matter pathway underlies cognition decline in patients with silent cerebrovascular disease (SCD) with white matter hyperintensities (WMH) of vascular origin. However, the evaluation of the...
Magnetic Resonance Imaging
Predictive Value of Tests
Cerebrovascular Disorders
Image Interpretation, Computer-Assisted
Middle Aged
Humans
White Matter
Reproducibility of Results
Algorithms
Deep Learning
Aged
Cholinergic Neurons
Female
Cognitive Dysfunction
Aged, 80 and over
Leukoencephalopathies
Cognition
Male
Cholinergic Fibers
Topology aware multitask cascaded U-Net for cerebrovascular segmentation.
PloS one
Dec 5, 2024
Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools dealing with cerebrovascular pathologies. Over the last years, deep learning based methods have been widely applied to this task. However, classic deep...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31088
- Neural Networks, Computer 29743
- Algorithms 26874
- Deep Learning 26387
- Artificial Intelligence 24329
- Robotics 13315
- Image Processing, Computer-Assisted 9536
- Retrospective Studies 9125
- Magnetic Resonance Imaging 6192
- Reproducibility of Results 5600
- Tomography, X-Ray Computed 4772
- Support Vector Machine 4692
- Computational Biology 4243
- Brain 4053
- Computer Simulation 3885
Recent Journals
- Scientific reports 6015
- Sensors (Basel, Switzerland) 4794
- PloS one 4029
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1864
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1133
- Journal of chemical information and modeling 1003
- Nature communications 952
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 862
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 828