Cargando…

Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction

Dyskalemias are common electrolyte disorders associated with high cardiovascular risk. Artificial intelligence (AI)-assisted electrocardiography (ECG) has been evaluated as an early-detection approach for dyskalemia. The aims of this study were to determine the clinical accuracy of AI-assisted ECG f...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lin, Chin, Chau, Tom, Lin, Chin-Sheng, Shang, Hung-Sheng, Fang, Wen-Hui, Lee, Ding-Jie, Lee, Chia-Cheng, Tsai, Shi-Hung, Wang, Chih-Hung, Lin, Shih-Hua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770475/ https://www.ncbi.nlm.nih.gov/pubmed/35046489 http://dx.doi.org/10.1038/s41746-021-00550-0

Ejemplares similares

Artificial Intelligence-Enabled Electrocardiography Detects Hypoalbuminemia and Identifies the Mechanism of Hepatorenal and Cardiovascular Events
por: Lee, Yung-Tsai, et al.
Publicado: (2022)

Artificial Intelligence–Assisted Electrocardiography for Early Diagnosis of Thyrotoxic Periodic Paralysis
por: Lin, Chin, et al.
Publicado: (2021)

Artificial Intelligence-Enabled Electrocardiogram Estimates Left Atrium Enlargement as a Predictor of Future Cardiovascular Disease
por: Lou, Yu-Sheng, et al.
Publicado: (2022)

Artificial Intelligence-Enabled Electrocardiography Detects B-Type Natriuretic Peptide and N-Terminal Pro-Brain Natriuretic Peptide
por: Liu, Pang-Yen, et al.
Publicado: (2023)

Artificial Intelligence-Enabled Electrocardiogram Predicted Left Ventricle Diameter as an Independent Risk Factor of Long-Term Cardiovascular Outcome in Patients With Normal Ejection Fraction
por: Chen, Hung-Yi, et al.
Publicado: (2022)

Artificial intelligence-enabled electrocardiogram screens low left ventricular ejection fraction with a degree of confidence
por: Lee, Chun-Ho, et al.
Publicado: (2022)

An artificial intelligence-enabled ECG algorithm for identifying ventricular premature contraction during sinus rhythm
por: Chang, Sheng-Nan, et al.
Publicado: (2022)

Artificial Intelligence-Enabled Electrocardiography Predicts Left Ventricular Dysfunction and Future Cardiovascular Outcomes: A Retrospective Analysis
por: Chen, Hung-Yi, et al.
Publicado: (2022)

An Artificial Intelligence-Based Alarm Strategy Facilitates Management of Acute Myocardial Infarction
por: Liu, Wen-Cheng, et al.
Publicado: (2021)

An Artificial Intelligence-Enabled ECG Algorithm for the Prediction and Localization of Angiography-Proven Coronary Artery Disease
por: Huang, Pang-Shuo, et al.
Publicado: (2022)

Influence of dyskalemia at admission and early dyskalemia correction on survival and cardiac events of critically ill patients
por: Bouadma, Lila, et al.
Publicado: (2019)

Detecting Digoxin Toxicity by Artificial Intelligence-Assisted Electrocardiography
por: Chang, Da-Wei, et al.
Publicado: (2021)

Prediction for blood lactate during exercise using an artificial intelligence—Enabled electrocardiogram: a feasibility study
por: Huang, Shu-Chun, et al.
Publicado: (2023)

Pathogenesis and Treatment of Dyskalemia in Maintenance Hemodialysis and CAPD
por: Kim, Ho-Jung
Publicado: (2006)

Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study
por: Lin, Chin-Sheng, et al.
Publicado: (2021)

A Fatal Adverse Effect of Barbiturate Coma Therapy: Dyskalemia
por: Kwon, Hyun Mook, et al.
Publicado: (2016)

Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG
por: Li, Hongqiang, et al.
Publicado: (2021)

A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development
por: Lin, Chin-Sheng, et al.
Publicado: (2020)

An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?
por: Kashou, Anthony H., et al.
Publicado: (2021)

Chinese Intelligence Prescription System improves prescription accuracy while decreasing labor and drug costs
por: Huang, Ting-Yu, et al.
Publicado: (2023)

Artificial Intelligence-Enabled ECG Algorithm for the Prediction of Coronary Artery Calcification
por: Han, Changho, et al.
Publicado: (2022)

Development and Validation of an Artificial Intelligence Electrocardiogram Recommendation System in the Emergency Department
por: Tsai, Dung-Jang, et al.
Publicado: (2022)

Development and validation of a dynamic deep learning algorithm using electrocardiogram to predict dyskalaemias in patients with multiple visits
por: Lou, Yu-Sheng, et al.
Publicado: (2022)

Artificial Intelligence Assisted Computational Tomographic Detection of Lung Nodules for Prognostic Cancer Examination: A Large-Scale Clinical Trial
por: Chao, Heng-Sheng, et al.
Publicado: (2023)

Impact of the COVID-19 Pandemic on the Loading and Quality of an Emergency Department in Taiwan: Enlightenment from a Low-Risk Country in a Public Health Crisis
por: Chen, Jamie Yu-Hsuan, et al.
Publicado: (2021)

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes
por: Lin, Chin, et al.
Publicado: (2017)

Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction
por: Huang, Yu-Chang, et al.
Publicado: (2023)

Mortality risk prediction of the electrocardiogram as an informative indicator of cardiovascular diseases
por: Tsai, Dung-Jang, et al.
Publicado: (2023)

Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm
por: Han, Changho, et al.
Publicado: (2022)

Association of dyskalemias with short-term health care utilization in patients with advanced CKD
por: Dashputre, Ankur A, et al.
Publicado: (2021)

Identification of Novel Genetic Variants Associated with Insomnia and Migraine Comorbidity
por: An, Yu-Chin, et al.
Publicado: (2022)

Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review
por: Bjerkén, Laura Vindeløv, et al.
Publicado: (2022)

Pyogenic Liver Abscess is Associated With Increased Risk of Acute Kidney Injury: A Nationwide Population-Based Cohort Study
por: Sung, Chih-Chien, et al.
Publicado: (2016)

Impact of Dysnatremia and Dyskalemia on Prognosis in Patients with Aneurysmal Subarachnoid Hemorrhage: A Retrospective Study
por: Tam, Catherine WY, et al.
Publicado: (2019)

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
por: Akbilgic, Oguz, et al.
Publicado: (2021)

Artificial intelligence-enabled 8-lead ECG detection of atrial septal defect among adults: a novel diagnostic tool
por: Luo, Qiushi, et al.
Publicado: (2023)

Enabling Large-Scale Biomedical Analysis in the Cloud
por: Lin, Ying-Chih, et al.
Publicado: (2013)

Application of Artificial Intelligence in Measuring Novel pH-Impedance Metrics for Optimal Diagnosis of GERD
por: Wong, Ming-Wun, et al.
Publicado: (2023)

Development and Efficacy of Lateral Flow Point-of-Care Testing Devices for Rapid and Mass COVID-19 Diagnosis by the Detections of SARS-CoV-2 Antigen and Anti-SARS-CoV-2 Antibodies
por: Hsieh, Wen-Yeh, et al.
Publicado: (2021)

Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time
por: Hsu, Chin-Chuan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_gbu345lhs5eqme6hghs0qdg84d