Publications | Cardiologs

2021

AI Filter Improves Positive Predictive Value of Atrial Fibrillation Detection by an Implantable Loop Recorder

Suneet Mittal, MD, Susan Oliveros, CRAT, Jia Li, MSC, Thibaut Barroyer, MSC, Christine Henry, MSC, Christophe Gardella, PHD

2021

Smartwatch Electrocardiogram and Artificial Intelligence for Assessing Cardiac-Rhythm Safety of Drug Therapy in the COVID-19 Pandemic. The QT-logs study

Baptiste Maille, Marie Wilkin, Matthieu Millon, Noémie Rességuier, Frédéric Franceschi, Linda Koutbi-Franceschi, Jérôme Hourdain, Elisa Martinez, Maxime Zabern, Christophe Gardella, Herve Dupont-Tissot, Jagmeet P. Singh, Jean-Claude Deharo, Laurent Fiorina

2020

An Artificial Intelligence-Based Solution To Reduce False Positive Detections Of Atrial Fibrillation By An Implantable Loop Recorder

Suneet Mittal, BA, MD, FHRS, Susan Oliveros, CRAT, Christine Henry, Jia Li, MSc and Christophe Gardella, PhD

2020

AI-based strategy enables faster Holter ECG analysis with equivalent clinical accuracy compared to a classical strategy

L Fiorina, E Marijon, C Maupain, C Coquard, L Larnier, J Rischard, A Bourmaud, F Salerno, J Horvilleur, J Lacotte, M Ait Said, V Manenti, A Maltret, J Li, C Gardella

2019

A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation

Stephen W. Smith, MD, Brooks Walsh, MD, Ken Grauer, MD, Kyuhyun Wang, MD, Jeremy Rapin, Ph.D., Jia Li, William Fennell, M.D., Pierre Taboulet, M.D.

2019

A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation

Stephen W. Smith, Jeremy Rapin, Jia Li, Yann Fleureau, William Fennell, Brooks M. Walsh, Arnaud Rosier, Laurent Fiorina, Christophe Gardella

2019

AI-based platform enables faster ambulatory ECG analysis with equivalent clinical accuracy compared to traditional solution

Laurent Fiorina, M.D., Eloi Marijon, M.D. Ph.D., Carole Maupain, M.D., Charlène Coquard, M.D., Louis Larnier, M.D., Julien Rischard, M.D., Aurélie Bourmaud, M.D. Ph.D., Jia Li, Fiorella Salerno, M.D., Jérôme Horvilleur, M.D., Jérôme Lacotte, M.D., Mina Ait Said, M.D., Vladimir Mannenti, M.D., Alice Maltret, M.D., Christophe Gardella, Ph.D.

2017

Improved Interpretation of Atrial Dysrhythmias by a New Neural Network Electrocardiogram Interpretation Algorithm

Stephen W. Smith, Jeremy Rapin, Jia Li, Brooks M. Walsh , Arnaud Rosier, Laurent Fiorina, Kenneth W. Dodd, and Pierre Taboulet

2016

Deep neural networks improve atrial fibrillation detection in Holter: first results

J Li , J Rapin, A Rosier, S W Smith, Y Fleureau and P Taboulet

Patents

Pursuant to 35 U.S.C. §287(a), Cardiologs Technologies products are protected by one or more U.S. patents. Each product also may be covered by one or more foreign patents and additional patent application(s) may still be pending.

The following list of products and U.S. patents may not be all inclusive, and other products not listed here may be protected by one or more patents.

Product	Patents
Cardiologs ECG Analysis Platform	US10426364, US10758139, US10779744, US10959660
Cardiologs ECG Analysis Platform	EP Patent No. 3367897 (AT, BE, CH, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HU, IE, IT, LT, LU, LV, NL, NO, PL, PT, RO, SE, TR)

List of publications

AI Filter Improves Positive Predictive Value of Atrial Fibrillation Detection by an Implantable Loop Recorder

Smartwatch Electrocardiogram and Artificial Intelligence for Assessing Cardiac-Rhythm Safety of Drug Therapy in the COVID-19 Pandemic. The QT-logs study

An Artificial Intelligence-Based Solution To Reduce False Positive Detections Of Atrial Fibrillation By An Implantable Loop Recorder

AI­-based strategy enables faster Holter ECG analysis with equivalent clinical accuracy compared to a classical strategy

A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation

A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation

AI-based platform enables faster ambulatory ECG analysis with equivalent clinical accuracy compared to traditional solution

Improved Interpretation of Atrial Dysrhythmias by a New Neural Network Electrocardiogram Interpretation Algorithm

Deep neural networks improve atrial fibrillation detection in Holter: first results

Patents

AI-based strategy enables faster Holter ECG analysis with equivalent clinical accuracy compared to a classical strategy