Publications by authors named "Fangbing Yan"

Objective: Surgical ablation of atrial fibrillation (AF) has become a routine procedure during concomitant cardiac surgery, however, the extension of lesion sets remain controversial. We sought to compare the relative benefit and risk of different lesion sets through a Bayesian network meta-analysis (NMA).

Methods: Pubmed, Embase, and Cochrane Trials databases were searched for randomized controlled trials (RCTs) comparing the rhythm outcome of AF patients undergoing pulmonary vein isolation (PVI), left atrial Maze (LAM), bi-atrial Maze (BAM), or no ablation during concomitant cardiac surgery.

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The effect of ganglion plexus (GP) ablation in addition to pulmonary veins isolation (PVI) for atrial fibrillation (AF) remained controversial between the catheter and surgical-based studies. Eleven studies (five randomized controlled trials and six nonrandomized studies) of 1750 patients were included in a meta-analysis to elucidate the incremental benefit of additional GP ablation in patients undergoing catheter or surgical ablation. Risk ratios were calculated for freedom from AF or AT recurrence after a single procedure.

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Coordination polymerizations of 1-vinylnaphthalene (1VN), 2-vinylnaphthalene (2VN) and 6-methoxy-2-vinylnaphthalene (MVN) are carried out at room temperature by using the half-sandwich scandium precursor FluSiMe Sc(CH SiMe ) (THF) (1) and the constrained geometry configuration rare-earth metal precursors FluCH PyLn(CH SiMe ) (THF) [Flu = C H , Py = C H N; Ln = Sc (2a), n = 0; Ln = Lu (2b), Y(2c), n = 1]. Atactic poly(1VN) and perfect syndiotactic poly(2VN) and poly(MVN) are produced by precursors 2a-2c in a controlled way. Treatment of poly(MVN) with boron tribromide at -20 °C provides a syndiotactic poly(6-hydroxy-2-vinylnaphthalene).

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The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common treatable blinding retinal diseases. Our framework utilizes transfer learning, which trains a neural network with a fraction of the data of conventional approaches.

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Study Objectives: To evaluate whether blue-light-blocking intraocular lens implantation affects the sleep quality of cataract patients.

Design: Pre-test/post-test experiment.

Setting: N/A.

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