2024
Back to the future: artificial intelligence-enabled single-lead ambulatory ECG can unmask conduction tissue disease
Fiorina, L., Carbonati, T., Maille, B., et al.
List of publications
2024
Comparison of QT interval readings between smartwatch ECG combined with AI and 12-Lead ECG in subjects hospitalized for antiarrhythmic drug initiation and follow-up.
Lefebvre, B., Lehmann, H. L., Tordjman, D., Henry, C., Singh, J. P.
2024
Artificial intelligence–based electrocardiogram analysis improves atrial arrhythmia detection from a smartwatch electrocardiogram.
Fiorina, L., Chemaly, P., Cellier, J., et al.
2023
Near-Term Prediction of Life-Threatening Ventricular Arrhythmias using Artificial Intelligence-Enabled Single Lead Ambulatory ECG
Laurent Fiorina, Tanner Carbonati, Kumar Narayanan, Jia Li, Christine Henry, Jagmeet Singh, Eloi Marijon
2023
Clinical validation of an artificial intelligence algorithm offering cross-platform detection of atrial fibrillation using smart device electrocardiograms
Diego Mannhart, Baptiste Lefebvre, Christophe Gardella, Christine Henry, Teodor Serban, Sven Knecht, Michael Kühne, Christian Sticherling, Patrick Badertscher
2022
Evaluation of an Ambulatory ECG Analysis Platform Using Deep Neural Networks in Routine Clinical Practice
Laurent Fiorina, MD, Carole Maupain, MD; Christophe Gardella, PhD, Vladimir Manenti, MD, Fiorella Salerno, MD; Pierre Socie, MD, Jia Li, MSc; Christine Henry, MSc, Audrey Plesse, MSc; Kumar Narayanan, MD, FHRS; Aurélie Bourmaud, MD, Eloi Marijon, MD, PhD
2022
Short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural network
Jagmeet P. Singh, Julien Fontanarava, Grégoire de Massé, Tanner Carbonati, Jia Li, Christine Henry, Laurent Fiorina
2022
Smartwatch-based detection of atrial arrhythmia using a deep neural network in a tertiary care hospital
Fiorina, L & Lefebvre, B & Gardella, C & Henry, Christine & Coquard, C & Younsi, S & Said, M & Salerno, F & Horvilleur, Jérôme & Lacotte, Jerome & Mannenti, V.
2021
An Artificial Intelligence-Based Smartwatch ECG Analysis Improves the Detection of Atrial Arrhythmia
Fiorina L, Chemaly P, Cellier J, Younsi S, Ait Said M, Salerno F, Horvilleur J, Lacotte J, Manenti V, Henry C, Gardella C, Lefebvre B.
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, US11134880, US11147500 |
| 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) and EP Patent No. 3673493 (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) |