Cargando…

Artificial Intelligence-Enabled Electrocardiogram Improves the Diagnosis and Prediction of Mortality in Patients With Pulmonary Hypertension

BACKGROUND: Pulmonary hypertension is a disabling and life-threatening cardiovascular disease. Early detection of elevated pulmonary artery pressure (ePAP) is needed for prompt diagnosis and treatment to avoid detrimental consequences of pulmonary hypertension. OBJECTIVES: This study sought to devel...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Chih-Min, Shih, Edward S.C., Chen, Jhih-Yu, Huang, Chih-Han, Wu, I-Chien, Chen, Pei-Fen, Higa, Satoshi, Yagi, Nobumori, Hu, Yu-Feng, Hwang, Ming-Jing, Chen, Shih-Ann
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627911/ https://www.ncbi.nlm.nih.gov/pubmed/36338407 http://dx.doi.org/10.1016/j.jacasi.2022.02.008

Ejemplares similares

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

The emerging role of artificial intelligence enabled electrocardiograms in healthcare
por: Sau, Arunashis, et al.
Publicado: (2023)

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

A comprehensive artificial intelligence–enabled electrocardiogram interpretation program
por: Kashou, Anthony H., et al.
Publicado: (2020)

Artificial intelligence-enabled electrocardiogram screens low left ventricular ejection fraction with a degree of confidence
por: Lee, Chun-Ho, 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)

Recurrent cryptogenic stroke: A potential role for an artificial intelligence–enabled electrocardiogram?
por: Kashou, Anthony H., et al.
Publicado: (2020)

Artificial intelligence–enabled mobile electrocardiograms for event prediction in paroxysmal atrial fibrillation
por: Raghunath, Ananditha, et al.
Publicado: (2023)

Utility of an Artificial Intelligence Enabled Electrocardiogram for Risk Assessment in Liver Transplant Candidates
por: Zaver, Himesh B., et al.
Publicado: (2023)

Correlation between artificial intelligence-enabled electrocardiogram and echocardiographic features in aortic stenosis
por: Ito, Saki, et al.
Publicado: (2023)

An explainable artificial intelligence-enabled electrocardiogram analysis model for the classification of reduced left ventricular function
por: Katsushika, Susumu, et al.
Publicado: (2023)

Role of Endothelin-1 in Right Atrial Arrhythmogenesis in Rabbits with Monocrotaline-Induced Pulmonary Arterial Hypertension
por: Lu, Yen-Yu, et al.
Publicado: (2022)

The Match of Electrocardiogram and Artificial Intelligence Confers an Opportunity for Pulmonary Hypertension Screening
por: Tu, Shengxian, et al.
Publicado: (2022)

Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms
por: Goto, Shinichi, et al.
Publicado: (2021)

Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review
por: Neri, Luca, 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)

Assessing electrocardiogram changes after ischemic stroke with artificial intelligence
por: Zeng, Ziqiang, et al.
Publicado: (2022)

Usefulness of multi-labelling artificial intelligence in detecting rhythm disorders and acute ST-elevation myocardial infarction on 12-lead electrocardiogram
por: Chang, Kuan-Cheng, et al.
Publicado: (2021)

Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms
por: Hirota, Naomi, et al.
Publicado: (2023)

Artificial intelligence-enabled electrocardiogram to distinguish cavotricuspid isthmus dependence from other atrial tachycardia mechanisms( )
por: Sau, Arunashis, et al.
Publicado: (2022)

The era of artificial intelligence–based individualized telemedicine is coming
por: Jheng, Ying-Chun, et al.
Publicado: (2020)

A novelty route for smartphone-based artificial intelligence approach to ophthalmic screening
por: Jheng, Ying-Chun, et al.
Publicado: (2020)

Optical coherence tomography–based diabetic macula edema screening with artificial intelligence
por: Hwang, De-Kuang, et al.
Publicado: (2020)

Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
por: Attia, Zachi I., et al.
Publicado: (2021)

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

Importance of external validation and subgroup analysis of artificial intelligence in the detection of low ejection fraction from electrocardiograms
por: Yagi, Ryuichiro, et al.
Publicado: (2022)

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)

Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care
por: Chen, Ke-Wei, et al.
Publicado: (2022)

Knowledge graph analysis and visualization of artificial intelligence applied in electrocardiogram
por: Yang, Mengting, et al.
Publicado: (2023)

Corrigendum: Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care
por: Chen, Ke-Wei, et al.
Publicado: (2022)

Semi-automated identification of biological control agent using artificial intelligence
por: Liao, Jhih-Rong, et al.
Publicado: (2020)

Explainable Paroxysmal Atrial Fibrillation Diagnosis Using Electrocardiogram with Artificial Intelligence
por: Lee, K H, et al.
Publicado: (2023)

Mirabegron, a β3‑adrenoreceptor agonist, regulates right and left atrial arrhythmogenesis differently
por: Chan, Chao-Shun, et al.
Publicado: (2022)

Artificial Intelligence Algorithms Enable Automated Characterization of the Positive and Negative Dielectrophoretic Ranges of Applied Frequency
por: Michaels, Matthew, et al.
Publicado: (2022)

Artificial intelligence-based decision-making for age-related macular degeneration
por: Hwang, De-Kuang, et al.
Publicado: (2019)

Applications of artificial intelligence for hypertension management
por: Tsoi, Kelvin, et al.
Publicado: (2021)

An Artificial Intelligence Approach to Bloodstream Infections Prediction
por: Pai, Kai-Chih, et al.
Publicado: (2021)

Artificial intelligence-based education assists medical students’ interpretation of hip fracture
por: Cheng, Chi-Tung, et al.
Publicado: (2020)

Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction
por: Lin, Chin, et al.
Publicado: (2022)

Prognostic Factors in Patients With Pulmonary Hypertension—A Nationwide Cohort Study
por: Chang, Wei‐Ting, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_ed6mhlntl8h8g7fjl6vbv88djm