Machine Learning and the Future of Cardiovascular Care

Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects

(2020) Evann Eisenberg et al.   Circulation-Cardiovascular Imaging

Applications of machine learning in decision analysis for dose management for dofetilide

(2020) Andrew E. Levy et al.   PLoS One

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols

(2020) Sanne G. M. van Velzen et al.   RADIOLOGY

Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG

(2020) Mihaela Porumb et al.   Scientific Reports

Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features

(2020) Juhwan Lee et al.   Scientific Reports

Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning

(2020) Ana Pina et al.   European Journal of Preventive Cardiology

An unsupervised learning approach to identify novel signatures of health and disease from multimodal data

(2020) Ilan Shomorony et al.   Genome Medicine

Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy

(2020) Dominik C. Benz et al.   Journal of Cardiovascular Computed Tomography

Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning–Based Analysis of Chest Radiographs

(2020) Shuhei Toba et al.   JAMA Cardiology

Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique

(2020) Hung-Hsun Chen et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach

(2020) Fumin Guo et al.   MEDICAL IMAGE ANALYSIS

MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints

(2020) Ouwen Huang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning

(2020) Takuya Matsumoto et al.   International Heart Journal

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

(2020) Beau Norgeot et al.   NATURE MEDICINE

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

(2020) Partho P. Sengupta et al.   JACC-Cardiovascular Imaging

Artificial Intelligence in Cardiovascular Imaging

(2019) Damini Dey et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units

(2019) Chao Yu et al.   BMC Medical Informatics and Decision Making

Retrospective correction of motion‐affected MR images using deep learning frameworks

(2019) Thomas Küstner et al.   MAGNETIC RESONANCE IN MEDICINE

Machine Learning in Medicine

(2019) Alvin Rajkomar et al.   NEW ENGLAND JOURNAL OF MEDICINE

Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU

(2019) Gal Hever et al.   JOURNAL OF CLINICAL MONITORING AND COMPUTING

Tracking the popularity and outcomes of all bioRxiv preprints

(2019) Richard J Abdill et al.   eLife

Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

(2019) Brett K. Beaulieu-Jones et al.  

Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms

(2019) Gerhard-Paul Diller et al.   INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

Impact of Artificial Intelligence on Interventional Cardiology

(2019) Partha Sardar et al.   JACC-Cardiovascular Interventions

The Future of Cardiovascular Computed Tomography

(2019) Edward D. Nicol et al.   JACC-Cardiovascular Imaging

Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences

(2019) Jason A. Fries et al.   Nature Communications

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography

(2019) Sarah Leclerc et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2019) Zachi I Attia et al.   LANCET

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

(2019) Geert Litjens et al.   JACC-Cardiovascular Imaging

Multimodal 3D medical image registration guided by shape encoder–decoder networks

(2019) Max Blendowski et al.   International Journal of Computer Assisted Radiology and Surgery

Choosing Clinical Variables for Risk Stratification Post-Acute Coronary Syndrome

(2019) Paul D. Myers et al.   Scientific Reports

ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial

(2019) Xiaoxi Yao et al.   AMERICAN HEART JOURNAL

Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score

(2019) Márton Tokodi et al.   EUROPEAN HEART JOURNAL

Machine learning in cardiovascular medicine: are we there yet?

(2018) Khader Shameer et al.   HEART

Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases

(2018) Nicolas Duchateau et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

On the use of machine learning techniques for the mechanical characterization of soft biological tissues

(2018) Myriam Cilla et al.   International Journal for Numerical Methods in Biomedical Engineering

Optimization of reconstruction and quantification of motion-corrected coronary PET-CT

(2018) Mhairi K. Doris et al.   JOURNAL OF NUCLEAR CARDIOLOGY

Artificial Intelligence in Cardiology

(2018) Kipp W. Johnson et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

The Computerized ECG: Friend and Foe

(2018) Harold Smulyan   AMERICAN JOURNAL OF MEDICINE

Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks

(2018) Nils Gessert et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

OUP accepted manuscript

(2018)   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Building medical image classifiers with very limited data using segmentation networks

(2018) Ken C.L. Wong et al.   MEDICAL IMAGE ANALYSIS

Using neural attention networks to detect adverse medical events from electronic health records

(2018) Jiebin Chu et al.   JOURNAL OF BIOMEDICAL INFORMATICS

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

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks

(2018) Andreas Østvik et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Validity of Using Inpatient and Outpatient Administrative Codes to Identify Acute Venous Thromboembolism

(2017) Margaret C. Fang et al.   MEDICAL CARE

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Lost in Thought — The Limits of the Human Mind and the Future of Medicine

(2017) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction

(2017) Daniel H. Katz et al.   Journal of Cardiovascular Translational Research

Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction

(2017) Yuan Luo et al.   Journal of Cardiovascular Translational Research

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Pixel-Level Tissue Classification for Ultrasound Images

(2016) Daniel V. Pazinato et al.   IEEE Journal of Biomedical and Health Informatics

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

Machine Learning in Medicine

(2015) R. C. Deo   CIRCULATION

Identification of type 2 diabetes subgroups through topological analysis of patient similarity

(2015) Li Li et al.   Science Translational Medicine

Intelligent Platforms for Disease Assessment

(2013) Partho P. Sengupta   JACC-Cardiovascular Imaging