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Condition: Atrial Fibrillation
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Total 198 results found since Jan 2013.

Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning
AMIA Annu Symp Proc. 2021 Jan 25;2020:1431-1440. eCollection 2020.ABSTRACTIn this paper, we developed a personalized anticoagulant treatment recommendation model for atrial fibrillation (AF) patients based on reinforcement learning (RL) and evaluated the effectiveness of the model in terms of short-term and long-term outcomes. The data used in our work were baseline and follow-up data of 8,540 AF patients with high risk of stroke, enrolled in the Chinese Atrial Fibrillation Registry (CAFR) study during 2011 to 2018. We found that in 64.98% of patient visits, the anticoagulant treatment recommended by the RL model were conc...
Source: AMIA Annual Symposium Proceedings - May 3, 2021 Category: Bioinformatics Authors: Lei Zuo Xin Du Wei Zhao Chao Jiang Shijun Xia Liu He Rong Liu Ribo Tang Rong Bai Jianzeng Dong Xingzhi Sun Gang Hu Guotong Xie Changsheng Ma Source Type: research

Appropriate Use Criteria of Left Atrial Appendage Closure Devices: Latest Evidences
Expert Rev Med Devices. 2023 May 1. doi: 10.1080/17434440.2023.2208748. Online ahead of print.ABSTRACTAtrial fibrillation is the most common arrythmia and it is linked to an increased risk of stroke. Even if anticoagulation therapy reduces the rate of stroke the benefits of this therapy have to been balanced with the increased risk of hemorrhagic event. Left atrial appendage closure is a valid alternative to long term anticoagulation in patients with atrial fibrillation and high hemorrhagic risk. Actually new devices with different features have been tested and introduced progressively in the clinical practice. Improvement...
Source: Expert Review of Medical Devices - May 2, 2023 Category: Medical Devices Authors: Fabrizio Guarracini Eleonora Bonvicini Alberto Preda Marta Martin Simone Muraglia Giulia Casagranda Marianna Mochen Alessio Coser Silvia Quintarelli Stefano Branzoli Roberto Bonmassari Massimiliano Marini Patrizio Mazzone Source Type: research