The year in cardiovascular medicine 2021: digital health and innovation

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets

(2021) Fabrizio D'Ascenzo et al.   LANCET

Deep convolutional neural networks to predict cardiovascular risk from computed tomography

(2021) Roman Zeleznik et al.   Nature Communications

Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use

(2021) Akhil Narang et al.   JAMA Cardiology

Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction

(2021) Rohan Khera et al.   JAMA Cardiology

Artificial intelligence for detecting electrolyte imbalance using electrocardiography

(2021) Joon‐myoung Kwon et al.   ANNALS OF NONINVASIVE ELECTROCARDIOLOGY

An automated computational image analysis pipeline for histological grading of cardiac allograft rejection

(2021) Eliot G Peyster et al.   EUROPEAN HEART JOURNAL

Electrocardiogram screening for aortic valve stenosis using artificial intelligence

(2021) Michal Cohen-Shelly et al.   EUROPEAN HEART JOURNAL

Clinical prediction models: diagnosis versus prognosis

(2021) Maarten van Smeden et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial

(2021) Xiaoxi Yao et al.   NATURE MEDICINE

Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms

(2021) Shinichi Goto et al.   Nature Communications

Atherosclerotic Burden and Remodeling Patterns of the Popliteal Artery as Detected in the Magnetic Resonance Imaging Osteoarthritis Initiative Data Set

(2021) Gador Canton et al.   Journal of the American Heart Association

Accelerometer-derived physical activity and risk of atrial fibrillation

(2021) Shaan Khurshid et al.   EUROPEAN HEART JOURNAL

Day-to-day measurement of physical activity and risk of atrial fibrillation

(2021) Mathias Pinto Bonnesen et al.   EUROPEAN HEART JOURNAL

Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis

(2021) Martha Grogan et al.   MAYO CLINIC PROCEEDINGS

Automated coronary calcium scoring using deep learning with multicenter external validation

(2021) David Eng et al.   npj Digital Medicine

Atrial fibrillation burden and cognitive decline in elderly patients undergoing continuous monitoring

(2021) Mathias Pinto BONNESEN et al.   AMERICAN HEART JOURNAL

Artificial intelligence in cardiovascular imaging—principles, expectations, and limitations

(2021) Charalambos Antoniades et al.   EUROPEAN HEART JOURNAL

Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization

(2020) Josef Stehlik et al.   Circulation-Heart Failure

Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery

(2020) Marije Wijnberge et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial intelligence for detecting mitral regurgitation using electrocardiography

(2020) Joon-myoung Kwon et al.   JOURNAL OF ELECTROCARDIOLOGY

Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography

(2020) Joon-myoung Kwon et al.   JOURNAL OF HEART AND LUNG TRANSPLANTATION

Early prediction of circulatory failure in the intensive care unit using machine learning

(2020) Stephanie L. Hyland et al.   NATURE MEDICINE

Performance of a convolutional neural network derived from an ECG database in recognizing myocardial infarction

(2020) Hisaki Makimoto et al.   Scientific Reports

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

(2020) Laure Wynants et al.   BMJ-British Medical Journal

Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

(2020) Joon‐Myoung Kwon et al.   Journal of the American Heart Association

An Artificial Intelligence-Enabled ECG Algorithm to Identify Patients with Left Ventricular Systolic Dysfunction Presenting to the Emergency Department with Dyspnea

(2020) Demilade Adedinsewo et al.   Circulation-Arrhythmia and Electrophysiology

Dexamethasone in Hospitalized Patients with Covid-19 — Preliminary Report

(2020)   NEW ENGLAND JOURNAL OF MEDICINE

Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19 - A Case Series

(2020) Zachi I. Attia et al.   MAYO CLINIC PROCEEDINGS

Multichannel Electrocardiograms Obtained by a Smartwatch for the Diagnosis of ST-Segment Changes

(2020) Carmen Anna Maria Spaccarotella et al.   JAMA Cardiology

An Electronically Delivered, Patient-Activation Tool for Intensification of Medications for Chronic Heart Failure with Reduced Ejection Fraction: The EPIC-HF Trial

(2020) Larry A. Allen et al.   CIRCULATION

Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography

(2020) Younghoon Cho et al.   Scientific Reports

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

(2019) Conner D. Galloway et al.   JAMA Cardiology

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Mobile Health Technology for Atrial Fibrillation Screening Using Photoplethysmography-Based Smart Devices: The HUAWEI Heart study

(2019) Yutao Guo et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

(2019) Marco V. Perez et al.   NEW ENGLAND JOURNAL OF MEDICINE

Feasibility of combining serial smartphone single-lead electrocardiograms for the diagnosis of ST-elevation myocardial infarction

(2019) Joseph Boone Muhlestein et al.   AMERICAN HEART JOURNAL

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

(2019) Joon-Myoung Kwon et al.   EUROPACE

Detection of anaemia from retinal fundus images via deep learning

(2019) Akinori Mitani et al.   Nature Biomedical Engineering

Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis

(2018) Feras Hatib et al.   ANESTHESIOLOGY

Fully Automated Echocardiogram Interpretation in Clinical Practice

(2018) Jeffrey Zhang et al.   CIRCULATION

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

(2018) Sasank Chilamkurthy et al.   LANCET

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

(2018) Zachi I. Attia et al.   NATURE MEDICINE

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

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

Retinal Vessel Calibers in Predicting Long-Term Cardiovascular OutcomesClinical Perspective

(2016) Sara B. Seidelmann et al.   CIRCULATION