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Deep learning for predicting in‐hospital mortality among heart disease patients based on echocardiography

Echocardiography (Mount Kisco, N.Y.), 2019-02, Vol.36 (2), p.213-218

2019

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Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography

The Journal of heart and lung transplantation, 2020-08, Vol.39 (8), p.805-814

2020

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Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes

Resuscitation, 2019-06, Vol.139, p.84-91

2019

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Artificial intelligence for detecting mitral regurgitation using electrocardiography

Journal of electrocardiology, 2020-03, Vol.59, p.151-157

2020

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Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram

International journal of cardiology, 2021-04, Vol.328, p.104-110

2021

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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Critical care medicine, 2020-04, Vol.48 (4), p.e285-e289

2020

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Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record

Critical care medicine, 2020-11, Vol.48 (11), p.e1106-e1111

2020

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An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period

International journal of cardiology, 2022-04, Vol.352, p.72-77

2022

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Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments

Pediatric emergency care, 2021-12, Vol.37 (12), p.e988-e994

2021

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A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards

Resuscitation, 2021-06, Vol.163, p.78-85

2021

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Text-to-ECG: 12-Lead Electrocardiogram Synthesis Conditioned on Clinical Text Reports

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Detection and classification of arrhythmia using an explainable deep learning model

Journal of electrocardiology, 2021-07, Vol.67, p.124-132

2021

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Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features

European heart journal. Digital health, 2021-03, Vol.2 (1), p.106-116

2021

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Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography

International urology and nephrology, 2022-10, Vol.54 (10), p.2733-2744

2022

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ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy

American journal of obstetrics & gynecology MFM, 2023-12, Vol.5 (12), p.101184-101184, Article 101184

2023

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Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm

European heart journal. Digital health, 2021-06, Vol.2 (2), p.290-298

2021

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Automatic Detection of Noisy Electrocardiogram Signals Without Explicit Noise Labels

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, p.634-643

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Efficient Data Augmentation Policy for Electrocardiograms

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022, p.4153-4157

2022

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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Critical care medicine, 2020-04, Vol.48 (4), p.e285

2020

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Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism

European heart journal. Digital health, 2022-06, Vol.3 (2), p.255-264

2022

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Usefulness of Deep-Learning Algorithm for Detecting Acute Myocardial Infarction Using Electrocardiogram Alone in Patients With Chest Pain at Emergency Department: DAMI-ECG Study

Journal of Cardiovascular Intervention, 2023, Vol.2 (2), p.100

2023

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Deep Learning in Medical Research: Strengths and Pitfalls

CardioMetabolic Syndrome Journal, 2021, Vol.1 (2), p.155

2021

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An Artificial Intelligence Electrocardiogram Analysis for Detecting Peripartum Cardiomyopathy

SSRN Electronic Journal

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Ethical and regulatory guidelines in clinical trials of xenocorneal transplantation in Korea; the Korean xenocorneal transplantation consensus statement

Xenotransplantation, 2013-07, Vol.20 (4), p.209-218

2013

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Deep learning for predicting in‐hospital mortality among heart disease patients based on echocardiography

Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography

Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes

Artificial intelligence for detecting mitral regurgitation using electrocardiography

Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram

Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record

An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period

Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments

A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards

Text-to-ECG: 12-Lead Electrocardiogram Synthesis Conditioned on Clinical Text Reports

Detection and classification of arrhythmia using an explainable deep learning model

Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features

Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography

ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads

Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy

Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm

Automatic Detection of Noisy Electrocardiogram Signals Without Explicit Noise Labels

Efficient Data Augmentation Policy for Electrocardiograms

Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System

Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism

Usefulness of Deep-Learning Algorithm for Detecting Acute Myocardial Infarction Using Electrocardiogram Alone in Patients With Chest Pain at Emergency Department: DAMI-ECG Study

Deep Learning in Medical Research: Strengths and Pitfalls

An Artificial Intelligence Electrocardiogram Analysis for Detecting Peripartum Cardiomyopathy

Ethical and regulatory guidelines in clinical trials of xenocorneal transplantation in Korea; the Korean xenocorneal transplantation consensus statement

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