日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets

AI-ECG分类在布鲁加达综合征中的应用:一项利用机器学习技术优化有限数据集的研究

Saleh, Keenan; Hadadi, Raaif; Liang, Yixiu; Wong, Hong; Sau, Arunashis; Howard, James; Brittain, Evan; Annis, Jeffrey; El-Harasis, Majd; Shun-Shin, Matthew; Mohal, Jagdeep; Naraen, Akriti; Samways, Jack; Artico, Jessica; Ware, James; Kanagaratnam, Prapa; Ng, Fu Siong; Zolgharni, Massoud; Bai, Wenjia; Varnava, Amanda; Whinnett, Zachary; Arnold, Ahran

Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study

利用人工智能增强心电图预测反流性瓣膜性心脏病:一项国际研究

Liang, Yixiu; Sau, Arunashis; Zeidaabadi, Boroumand; Barker, Joseph; Patlatzoglou, Konstantinos; Pastika, Libor; Sieliwonczyk, Ewa; Whinnett, Zachary; Peters, Nicholas S; Yu, Ziqing; Liu, Xi; Wang, Shuo; Lu, Hongyang; Kramer, Daniel B; Waks, Jonathan W; Su, Yangang; Ge, Junbo; Ng, Fu Siong

The cost of explainability in artificial intelligence-enhanced electrocardiogram models

人工智能增强型心电图模型的可解释性成本

Patlatzoglou, Konstantinos; Pastika, Libor; Barker, Joseph; Sieliwonczyk, Ewa; Khattak, Gul Rukh; Zeidaabadi, Boroumand; Ribeiro, Antônio H; Ware, James S; Peters, Nicholas S; Ribeiro, Antonio Luiz P; Kramer, Daniel B; Waks, Jonathan W; Sau, Arunashis; Ng, Fu Siong

Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach

利用基于树状结构的人工智能增强型心电图方法推导新的心房颤动表型

Gurnani, Mehak; Patlatzoglou, Konstantinos; Barker, Joseph; Pastika, Libor; Zeidaabadi, Boroumand; Antoun, Ibrahim; Somani, Riyaz; Andre Ng, G; Inglese, Paolo; Curran, Lara; O'Regan, Declan; Peters, Nicholas S; Kramer, Daniel B; Waks, Jonathan W; Sau, Arunashis; Ng, Fu Siong

Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension

人工智能增强型心电图预测高血压发病率

Sau, Arunashis; Barker, Joseph; Pastika, Libor; Sieliwonczyk, Ewa; Patlatzoglou, Konstantinos; McGurk, Kathryn A; Peters, Nicholas S; O'Regan, Declan P; Ware, James S; Kramer, Daniel B; Waks, Jonathan W; Ng, Fu Siong

Artificial Intelligence-Enhanced Electrocardiography for Complete Heart Block Risk Stratification

人工智能增强型心电图在完全性房室传导阻滞风险分层中的应用

Sau, Arunashis; Zhang, Henry; Barker, Joseph; Pastika, Libor; Patlatzoglou, Konstantinos; Zeidaabadi, Boroumand; El-Medany, Ahmed; Khattak, Gul Rukh; McGurk, Kathryn A; Sieliwonczyk, Ewa; Ware, James S; Peters, Nicholas S; Kramer, Daniel B; Waks, Jonathan W; Ng, Fu Siong

Circulating Cardiovascular Proteomic Associations With Genetics and Disease

循环心血管蛋白质组与遗传和疾病的关联

McGurk, Kathryn A; Curran, Lara; Sau, Arunashis; Ng, Fu Siong; Halliday, Brian; Ware, James S; O'Regan, Declan P

Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction

重新审视心室去极化异常:利用基于树状图的降维方法重新定义表型及相关结局

Gurnani, Mehak; Patlatzoglou, Konstantinos; Barker, Joseph; Bivona, Derek; Pastika, Libor; Sieliwonczyk, Ewa; Zeidaabadi, Boroumand; Inglese, Paolo; Curran, Lara; Arnold, Ahran D; O'Regan, Declan; Whinnett, Zachary; Bilchick, Kenneth C; Peters, Nicholas S; Kramer, Daniel B; Waks, Jonathan W; Sau, Arunashis; Ng, Fu Siong

A comparison of artificial intelligence-enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram images

利用心电图图像比较人工智能增强型心电图方法预测死亡时间

Sau, Arunashis; Zeidaabadi, Boroumand; Patlatzoglou, Konstantinos; Pastika, Libor; Ribeiro, Antônio H; Sabino, Ester; Peters, Nicholas S; Ribeiro, Antonio Luiz P; Kramer, Daniel B; Waks, Jonathan W; Ng, Fu Siong

Siamese neural network-enhanced electrocardiography can re-identify anonymized healthcare data

基于孪生神经网络增强的心电图可以重新识别匿名化的医疗保健数据

Macierzanka, Krzysztof; Sau, Arunashis; Patlatzoglou, Konstantinos; Pastika, Libor; Sieliwonczyk, Ewa; Gurnani, Mehak; Peters, Nicholas S; Waks, Jonathan W; Kramer, Daniel B; Ng, Fu Siong