Suppr超能文献

How Far Can Time-Series Models Go in Capturing Dynamic Stroke Risk Post Atrial Fibrillation?

作者信息

Chen Yang

机构信息

Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom.

出版信息

JACC Asia. 2025 Aug;5(8):979-982. doi: 10.1016/j.jacasi.2025.05.004.

Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9ea/12426828/0164704835c6/ga1.jpg

相似文献

1
How Far Can Time-Series Models Go in Capturing Dynamic Stroke Risk Post Atrial Fibrillation?
JACC Asia. 2025 Aug;5(8):979-982. doi: 10.1016/j.jacasi.2025.05.004.
2
Interpretable Independent Recurrent Networks for Forecasting Stroke in Atrial Fibrillation.
JACC Asia. 2025 Aug;5(8):966-978. doi: 10.1016/j.jacasi.2025.04.003. Epub 2025 Jun 10.
3
Artificial intelligence-powered advancements in atrial fibrillation diagnostics: a systematic review.
Egypt Heart J. 2025 Jul 23;77(1):73. doi: 10.1186/s43044-025-00670-y.
4
Towards Artificial Intelligence-Based Decision Support for Large-Scale Screening for Atrial Fibrillation.
IEEE J Biomed Health Inform. 2025 Oct;29(10):7633-7642. doi: 10.1109/JBHI.2025.3579621.
5
Diagnosis of atrial fibrillation after stroke and transient ischaemic attack: a systematic review and meta-analysis.
Lancet Neurol. 2015 Apr;14(4):377-87. doi: 10.1016/S1474-4422(15)70027-X. Epub 2015 Mar 4.
6
Explainable paroxysmal atrial fibrillation diagnosis using an artificial intelligence-enabled electrocardiogram.
Korean J Intern Med. 2025 Mar;40(2):251-261. doi: 10.3904/kjim.2024.130. Epub 2025 Feb 21.
7
Understanding Transient Left Ventricular Ejection Fraction Reduction During Atrial Fibrillation With Artificial Intelligence.
J Am Heart Assoc. 2025 May 20;14(10):e040641. doi: 10.1161/JAHA.124.040641. Epub 2025 May 13.
8
How can we best detect atrial fibrillation?
J R Coll Physicians Edinb. 2012;42 Suppl 18:5-22. doi: 10.4997/JRCPE.2012.S02.
9
Explainable artificial intelligence for stroke risk stratification in atrial fibrillation.
Eur Heart J Digit Health. 2025 Mar 22;6(3):317-325. doi: 10.1093/ehjdh/ztaf019. eCollection 2025 May.

本文引用的文献

1
Interpretable Independent Recurrent Networks for Forecasting Stroke in Atrial Fibrillation.
JACC Asia. 2025 Aug;5(8):966-978. doi: 10.1016/j.jacasi.2025.04.003. Epub 2025 Jun 10.
3
Wearable biosensors for monitoring and as a predictive adjunct for patients at risk for ischemic cardiac-related injury.
J Intern Med. 2025 Apr;297(4):437-447. doi: 10.1111/joim.20073. Epub 2025 Feb 23.
8
Predicting multifaceted risks using machine learning in atrial fibrillation: insights from GLORIA-AF study.
Eur Heart J Digit Health. 2024 Feb 20;5(3):235-246. doi: 10.1093/ehjdh/ztae010. eCollection 2024 May.
10
Impaired endogenous fibrinolysis status: a potential prognostic predictor in ischemic stroke.
Minerva Med. 2024 Jun;115(3):364-379. doi: 10.23736/S0026-4806.24.09133-X. Epub 2024 May 9.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验