AI Medical Compendium Journal:
Journal of atherosclerosis and thrombosis

Showing 1 to 6 of 6 articles

Hemostatic Activation Markers and Early Neurological Deterioration in Branch Atheromatous Disease-Related Stroke.

Journal of atherosclerosis and thrombosis May 9, 2025
AIMS: Branch atheromatous disease (BAD)-related stroke, caused by atherosclerotic occlusion at the origin of a deep penetrating artery, are prone to early neurological deterioration (END). This study aimed to assess the association between hemostatic...
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ChatGPT Responses to Clinical Questions in the Japan Atherosclerosis Society Guidelines for Prevention of Atherosclerotic Cardiovascular Disease 2022.

Journal of atherosclerosis and thrombosis Oct 30, 2024
AIMS: Artificial intelligence is increasingly used in the medical field. We assessed the accuracy and reproducibility of responses by ChatGPT to clinical questions (CQs) in the Japan Atherosclerosis Society Guidelines for Prevention Atherosclerotic C...
Surveys and Questionnaires Generative Artificial Intelligence Reproducibility of Results Cardiovascular Diseases Atherosclerosis Practice Guidelines as Topic Humans Japan Societies, Medical Artificial Intelligence
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Detection of the Relationship between the Multi-Dimensional Data Sets of Serially Measured Blood Pressure and the Future Risk of Death in Healthy Elderly Japanese Population.

Journal of atherosclerosis and thrombosis Oct 21, 2022
AIMS: Whether the multi-dimensional data of serially measured blood pressure contains information for predicting the future risk of death in elderly individuals in nursing homes is unclear.
Humans Neural Networks, Computer Blood Pressure Aged Mortality East Asian People Artificial Intelligence
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The Future Role of High-Performance Computing in Cardiovascular Medicine and Science -Impact of Multi-Dimensional Data Analysis.

Journal of atherosclerosis and thrombosis Oct 2, 2021
Advances in High-performance computing (HPC) technology have reached the capacity to inform cardiovascular (CV) science in the realm of both inductive and constructive approaches. Clinical trials allow for the comparison of the effect of an intervent...
Humans Artificial Intelligence Data Analysis Precision Medicine
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Predictors of Stroke Outcome Extracted from Multivariate Linear Discriminant Analysis or Neural Network Analysis.

Journal of atherosclerosis and thrombosis Dec 9, 2020
AIM: The prediction of functional outcome is essential in the management of acute ischemic stroke patients. We aimed to explore the various prognostic factors with multivariate linear discriminant analysis or neural network analysis and evaluate the ...
Multivariate Analysis Ischemic Stroke Discriminant Analysis Alkaline Phosphatase Humans Nutritional Status Neural Networks, Computer Recovery of Function Machine Learning Predictive Value of Tests Prognosis Regression Analysis Aged Aged, 80 and over Male Female Middle Aged Retrospective Studies Risk Factors
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Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video.

Journal of atherosclerosis and thrombosis Oct 2, 2020
AIM: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologists. Whether artificial intelligence (AI) could detect coronary stenosis from CAG video is unclear.
Adult Video Recording Prognosis Middle Aged Coronary Stenosis Retrospective Studies Young Adult Atherosclerosis Aged Aged, 80 and over Coronary Angiography Neural Networks, Computer Constriction, Pathologic Adolescent Humans Artificial Intelligence Follow-Up Studies
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