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

Article Cardiac & Cardiovascular Systems

A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection

Wei-Ting Liu et al.

Summary: Deep-learning models with ECG and CXR features were developed to detect aortic dissection and facilitate differential diagnosis in patients with acute chest pain.

CANADIAN JOURNAL OF CARDIOLOGY (2022)

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Article Medicine, General & Internal

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

Jamie Yu-Hsuan Chen et al.

Summary: The COVID-19 pandemic had a significant impact on the emergency department in terms of reducing low-acuity visits, improving care quality and patient outcomes, and increasing mortality risk for non-admitted patients with chest pain.

JOURNAL OF CLINICAL MEDICINE (2021)

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Article Cardiac & Cardiovascular Systems

Artificial intelligence for detecting electrolyte imbalance using electrocardiography

Joon-myoung Kwon et al.

Summary: A deep learning model using electrocardiography was developed and validated for detecting electrolyte imbalance, showing high performance in both internal and external validation for detecting hyperkalemia, hypokalemia, hypernatremia, hyponatremia, hypercalcemia, and hypocalcemia. The model helped visualize important ECG regions for detecting each electrolyte imbalance, highlighting differences in P wave, QRS complex, or T wave importance for each imbalance.

ANNALS OF NONINVASIVE ELECTROCARDIOLOGY (2021)

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Article Environmental Sciences

Detecting Digoxin Toxicity by Artificial Intelligence-Assisted Electrocardiography

Da-Wei Chang et al.

Summary: Although digoxin is important in heart rate control, its utilization is declining due to the narrow therapeutic window. A deep learning model based on ECG was developed to detect digoxin toxicity, showing promising performance in validation.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

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Review Cardiac & Cardiovascular Systems

Application of artificial intelligence to the electrocardiogram

Zachi Attia et al.

Summary: Artificial intelligence has enhanced the diagnostic abilities of electrocardiograms and clinicians, allowing for screening and prediction of cardiac and non-cardiac diseases through identification of subclinical patterns in large datasets. AI algorithms can detect various heart conditions without the need for hard-coded rules. The use of AI in ECGs has raised challenges in data privacy and requires careful validation in real-world clinical settings.

EUROPEAN HEART JOURNAL (2021)

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Article Health Care Sciences & Services

Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study

Chin-Sheng Lin et al.

Summary: This study developed a deep learning model to estimate HbA1c via ECG, showing that ECG-HbA1c could serve as a novel biomarker for screening DM and predicting the progression of DM and its complications. Stratified analysis demonstrated that ECG-HbA1c was more likely to detect diabetes in patients with fewer comorbidities. Additionally, ECG-HbA1c independently contributed to mortality, new-onset CKD, and new-onset HF, with additional impact observed in full adjustment models.

JOURNAL OF PERSONALIZED MEDICINE (2021)

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Article Endocrinology & Metabolism

Artificial Intelligence-Assisted Electrocardiography for Early Diagnosis of Thyrotoxic Periodic Paralysis

Chin Lin et al.

Summary: The study demonstrates that the AI-ECG system can reliably identify hypokalemia in patients with paralysis, and combining it with routine blood chemistries provides valuable decision support for the early diagnosis of TPP.

JOURNAL OF THE ENDOCRINE SOCIETY (2021)

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Article Urology & Nephrology

Potassium homeostasis and management of dyskalemia in kidney diseases: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

Catherine M. Clase et al.

KIDNEY INTERNATIONAL (2020)

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Article Cardiac & Cardiovascular Systems

Assessing and Mitigating Bias in Medical Artificial Intelligence The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis

Peter A. Noseworthy et al.

CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY (2020)

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Article Biochemistry & Molecular Biology

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

Sushravya Raghunath et al.

NATURE MEDICINE (2020)

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Article Multidisciplinary Sciences

Characteristics and related factors of emergency department visits, readmission, and hospital transfers of inpatients under a DRG-based payment system: A nationwide cohort study

Pei-Fang Huang et al.

PLOS ONE (2020)

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Article Medical Informatics

A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development

Chin-Sheng Lin et al.

JMIR MEDICAL INFORMATICS (2020)

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Article Cardiac & Cardiovascular Systems

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram

Conner D. Galloway et al.

JAMA CARDIOLOGY (2019)

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Article Medicine, General & Internal

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

Zachi Attia et al.

LANCET (2019)

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Article Biochemistry & Molecular Biology

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram

Zachi I. Attia et al.

NATURE MEDICINE (2019)

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Article Biochemistry & Molecular Biology

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Awni Y. Hannun et al.

NATURE MEDICINE (2019)

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Article Cardiac & Cardiovascular Systems

Serumpotassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortiummeta-analysis

Csaba P. Kovesdy et al.

EUROPEAN HEART JOURNAL (2018)

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Review Endocrinology & Metabolism

Hypokalemia: a clinical update

Efstratios Kardalas et al.

ENDOCRINE CONNECTIONS (2018)

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Article Cardiac & Cardiovascular Systems

Associations of serum potassium levels with mortality in chronic heart failure patients

Mette Aldahl et al.

EUROPEAN HEART JOURNAL (2017)

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Review Peripheral Vascular Disease

Potassium homeostasis in health and disease: A scientific workshop cosponsored by the National Kidney Foundation and the American Society of Hypertension

Csaba P. Kovesdy et al.

JOURNAL OF THE AMERICAN SOCIETY OF HYPERTENSION (2017)

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Article Critical Care Medicine

Real-Time Risk Prediction on the Wards: A Feasibility Study

Michael A. Kang et al.

CRITICAL CARE MEDICINE (2016)

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Article Multidisciplinary Sciences

Can we open the black box of AI?

Davide Castelvecchi

NATURE (2016)

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Article Medicine, General & Internal

Hypokalemia in Acute Medical Patients: Risk Factors and Prognosis

Helene Kildegaard Jensen et al.

AMERICAN JOURNAL OF MEDICINE (2015)

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Article Urology & Nephrology

Serum Potassium, End-Stage Renal Disease and Mortality in Chronic Kidney Disease

Georges N. Nakhoul et al.

AMERICAN JOURNAL OF NEPHROLOGY (2015)

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Article Medicine, General & Internal

Serum potassium levels as an outcome determinant in acute medical admissions

Richard Conway et al.

CLINICAL MEDICINE (2015)

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Article Cardiac & Cardiovascular Systems

Association between renin-angiotensin system antagonist use and mortality in heart failure with severe renal insufficiency: a prospective propensity score-matched cohort study

Magnus Edner et al.

EUROPEAN HEART JOURNAL (2015)

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Article Cardiac & Cardiovascular Systems

2015 ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death The Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC) Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC)

Silvia G. Priori et al.

EUROPEAN HEART JOURNAL (2015)

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Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

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Article Cardiac & Cardiovascular Systems

Are hospitalized or ambulatory patients with heart failure treated in accordance with European Society of Cardiology guidelines? Evidence from 12 440 patients of the ESC Heart Failure Long-Term Registry

Aldo P. Maggioni et al.

EUROPEAN JOURNAL OF HEART FAILURE (2013)

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Article Medicine, General & Internal

Serum Potassium Levels and Mortality in Acute Myocardial Infarction

Abhinav Goyal et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2012)

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Article Medicine, General & Internal

The Frequency of Hyperkalemia and Its Significance in Chronic Kidney Disease

Lisa M. Einhorn et al.

ARCHIVES OF INTERNAL MEDICINE (2009)

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Article Emergency Medicine

Effects of presentation and electrocardiogram on time to treatment of hyperkalemia

Kalev Freeman et al.

ACADEMIC EMERGENCY MEDICINE (2008)

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Article Emergency Medicine

Electrocardiographic manifestations: Electrolyte abnormalities

DB Diercks et al.

JOURNAL OF EMERGENCY MEDICINE (2004)

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

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