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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest

Journal of the American Heart Association, 2018-07, Vol.7 (13)

2018

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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

Journal of the American Heart Association, 2020-04, Vol.9 (7), p.e014717-e014717

2020

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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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Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography

Europace (London, England), 2020-03, Vol.22 (3), p.412-419

2020

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Artificial intelligence for detecting electrolyte imbalance using electrocardiography

Annals of noninvasive electrocardiology, 2021-05, Vol.26 (3), p.e12839-n/a

2021

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Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

Korean Circulation Journal, 2019, 49(7), , pp.629-639

2019

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Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study

Journal of medical Internet research, 2022-07, Vol.24 (7), p.e37928

2022

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Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables

Internal Medicine, 2024/03/15, Vol.63(6), pp.773-780

2024

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Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection

Journal of Korean Medical Science, 2022, 37(16), , pp.1-11

2022

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ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning-based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department

Clinical and Experimental Emergency Medicine, 2023, 10(4), , pp.438-445

2023

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Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors

Korean Circulation Journal, 2023, 53(11), , pp.758-771

2023

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Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning

Acute and Critical Care, 2018, 33(3), , pp.117-120

2018

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High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea

Korean Circulation Journal, 2019, 49(10), , pp.945-956

2019

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A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study

The Lancet. Digital health, 2020-07, Vol.2 (7), p.e358-e367

2020

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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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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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A simple and novel equation to estimate the degree of bleeding in haemorrhagic shock: mathematical derivation and preliminary in vivo validation

The Korean Journal of Physiology & Pharmacology, 2022, 26(3), , pp.195-205

2022

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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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A simple and novel equation to estimate the degree of bleeding in haemorrhagic shock: mathematical derivation and preliminary in vivo validation

The Korean journal of physiology & pharmacology, 2022, Vol.26 (3), p.195-205

2022

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Can emergency physicians reliably interpret cardiac CT images? A prospective observational study

Clinical and experimental emergency medicine, 2015-03, Vol.2 (1), p.38-43

2015

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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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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest

Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

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

Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography

Artificial intelligence for detecting electrolyte imbalance using electrocardiography

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study

Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables

Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection

Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors

Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning

High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea

A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study

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

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

A simple and novel equation to estimate the degree of bleeding in haemorrhagic shock: mathematical derivation and preliminary in vivo validation

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

A simple and novel equation to estimate the degree of bleeding in haemorrhagic shock: mathematical derivation and preliminary in vivo validation

Can emergency physicians reliably interpret cardiac CT images? A prospective observational study

Efficient Data Augmentation Policy for Electrocardiograms

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