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Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology

Arrhythmia & electrophysiology review, 2020-11, Vol.9 (3), p.146-154

2020

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Machine‐learning‐derived heart and brain age are independently associated with cognition

European journal of neurology, 2023-09, Vol.30 (9), p.2611-2619

2023

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Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks

Journal of the American Heart Association, 2020-05, Vol.9 (10), p.e015138-e015138

2020

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Incorporating repeated measurements into prediction models in the critical care setting: a framework, systematic review and meta-analysis

BMC medical research methodology, 2019-10, Vol.19 (1), p.199-199, Article 199

2019

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On the design and development of a handheld electrocardiogram device in a clinical setting

Frontiers in digital health, 2024-08, Vol.6, p.1403457

2024

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Interatrial Block Predicts Life-Threatening Arrhythmias in Dilated Cardiomyopathy

Journal of the American Heart Association, 2022-07, Vol.11 (14), p.e025473-e025473

2022

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Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy

European heart journal, 2023-02, Vol.44 (8), p.680-692

2023

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Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers

Circulation. Arrhythmia and electrophysiology, 2021-02, Vol.14 (2), p.e009056-e009056

2021

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Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks

Europace (London, England), 2022-10, Vol.24 (10), p.1645-1654

2022

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Comment on: C-reactive protein trajectory to predict colorectal anastomotic leak

British journal of surgery, 2021-06, Vol.108 (6), p.e231-e231

2021

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Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders

European heart journal. Digital health, 2022-09, Vol.3 (3), p.390-404

2022

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On the detection of acute coronary occlusion with the miniECG

European heart journal. Digital health, 2024-09

2024

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Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review

JMIR cardio, 2023-07, Vol.7, p.e44003-e44003

2023

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Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram

European heart journal. Digital health, 2022-12, Vol.3 (4), p.502-504

2022

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Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms

European heart journal. Digital health, 2021-09, Vol.2 (3), p.401-415

2021

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Detection of acute coronary occlusion with a novel mobile electrocardiogram device: a pilot study

European heart journal. Digital health, 2024-03, Vol.5 (2), p.183-191

2024

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Deep neural network-based clustering of deformation curves reveals novel disease features in PLN pathogenic variant carriers

The international journal of cardiovascular imaging, 2023-11, Vol.39 (11), p.2149-2161

2023

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Automatic triage of twelve-lead electrocardiograms using deep convolutional neural networks: a first implementation study

European heart journal. Digital health, 2024-01, Vol.5 (1), p.89-96

2024

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Deep neural networks reveal novel sex-specific electrocardiographic features relevant for mortality risk

European heart journal. Digital health, 2022-06, Vol.3 (2), p.245-254

2022

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Detection of Ischemic ST-Segment Changes Using a Novel Handheld ECG Device in a Porcine Model

JACC. Advances (Online), 2023-07, Vol.2 (5), p.100410, Article 100410

2023

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Machine‐learning‐derived heart and brain age are independently associated with cognition

European journal of neurology, 2023-09, Vol.30 (9), p.2589-2590

2023

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Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks

2020 Computing in Cardiology, 2020, p.1-4

2020

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Deep Learning—Prediction

Clinical Applications of Artificial Intelligence in Real-World Data, 2023, p.189-202

2023

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Apparent diffusion coefficient measurement in a moving phantom simulating linear respiratory motion

Japanese journal of radiology, 2010-10, Vol.28 (8), p.578-583

2010

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Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology

Machine‐learning‐derived heart and brain age are independently associated with cognition

Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks

Incorporating repeated measurements into prediction models in the critical care setting: a framework, systematic review and meta-analysis

On the design and development of a handheld electrocardiogram device in a clinical setting

Interatrial Block Predicts Life-Threatening Arrhythmias in Dilated Cardiomyopathy

Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy

Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers

Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks

Comment on: C-reactive protein trajectory to predict colorectal anastomotic leak

Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders

On the detection of acute coronary occlusion with the miniECG

ECG-only explainable deep learning algorithm predicts the risk for malignant ventricular arrhythmia in phospholamban cardiomyopathy

Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review

Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram

Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms

Detection of acute coronary occlusion with a novel mobile electrocardiogram device: a pilot study

Deep neural network-based clustering of deformation curves reveals novel disease features in PLN pathogenic variant carriers

Automatic triage of twelve-lead electrocardiograms using deep convolutional neural networks: a first implementation study

Deep neural networks reveal novel sex-specific electrocardiographic features relevant for mortality risk

Detection of Ischemic ST-Segment Changes Using a Novel Handheld ECG Device in a Porcine Model

Machine‐learning‐derived heart and brain age are independently associated with cognition

Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks

Deep Learning—Prediction

Apparent diffusion coefficient measurement in a moving phantom simulating linear respiratory motion

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