Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: proceedings of the European Society of Cardiology cardiovascular round table
Abstract
Digital technology is now an integral part of medicine. Tools for detecting, screening, diagnosis, and monitoring health-related parameters have improved patient care and enabled individuals to identify issues leading to better management of their own health. Wearable technologies have integrated sensors and can measure physical activity, heart rate and rhythm, and glucose and electrolytes. For individuals at risk, wearables or other devices may be useful for early detection of atrial fibrillation or sub-clinical states of cardiovascular disease, disease management of cardiovascular diseases such as hypertension and heart failure, and lifestyle modification. Health data are available from a multitude of sources, namely clinical, laboratory and imaging data, genetic profiles, wearables, implantable devices, patient-generated measurements, and social and environmental data. Artificial intelligence is needed to efficiently extract value from this constantly increasing volume and variety of data and to help in its interpretation. Indeed, it is not the acquisition of digital information, but rather the smart handling and analysis that is challenging. There are multiple stakeholder groups involved in the development and effective implementation of digital tools. While the needs of these groups may vary, they also have many commonalities, including the following: a desire for data privacy and security; the need for understandable, trustworthy, and transparent systems; standardized processes for regulatory and reimbursement assessments; and better ways of rapidly assessing value.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In a survey of more than 500 individuals with AF, 79% were interested in using a mobile-based technology for detection of AF.
“In a survey of > 500 individuals with AF, 79% were interested in using a mobilebased technology for detection of AF.”
From Unlocking Tomorrow’s Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence (2024) · cites this paper as [59]
Cites
2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure
McDonagh, T. A., Metra, M., Adamo, M., Gardner, R. S., Baumbach, A., Böhm, M., Burri, H., Butler, J., Čelutkienė, J., Chioncel, O., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab368 · Cited by 13,344 · see citing works
Self-citationLarge-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
Perez, M. V., Mahaffey, K. W., Hedlin, H., Rumsfeld, J. S., Garcia, A., Ferris, T., Balasubramanian, V., Russo, A. M., Rajmane, A., Cheung, L., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1901183 · Cited by 1,917 · see citing works
Self-citationAbraham, W. T., Adamson, P. B., Bourge, R. C., Aaron, M. F., Costanzo, M. R., Stevenson, L. W., Strickland, W., Neelagaru, S., Raval, N., Krueger, S., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60101-3 · Cited by 1,744 · see citing works
Artificial intelligence in cardiology
Johnson, K. W., Torres Soto, J., Glicksberg, B. S., Shameer, K., Miotto, R., Ali, M., Ashley, E., & Dudley, J. T. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.03.521 · Cited by 1,202 · see citing works
A governance model for the application of AI in health care
Reddy, S., Allan, S., Coghlan, S., & Cooper, P. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz192 · Cited by 979 · see citing works
2021 ESC Guidelines on cardiac pacing and cardiac resynchronization therapy
Glikson, M., Nielsen, J. C., Kronborg, M. B., Michowitz, Y., Auricchio, A., Barbash, I. M., Barrabés, J. A., Boriani, G., Braunschweig, F., Brignole, M., et al. (2021) · EP Europace · doi:10.1093/europace/euab232 · Cited by 927 · see citing works
Self-citationSmart wearable devices in cardiovascular care: Where we are and how to move forward
Bayoumy, K., Gaber, M., Elshafeey, A., Mhaimeed, O., Dineen, E. H., Marvel, F. A., Martin, S. S., Muse, E. D., Turakhia, M. P., Tarakji, K. G., et al. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00522-7 · Cited by 829 · see citing works
Self-citationHindricks, G., Táborský, M., Glikson, M., Heinrich, U., Schumacher, B., Katz, A., Brachmann, J., Lewalter, T., Goette, A., Block, M. S., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61176-4 · Cited by 742 · see citing works
Self-citationEberly, L. A., Kallan, M. J., Julien, H. M., Haynes, N., Khatana, S. A. M., Nathan, A. S., Snider, C., Chokshi, N. P., Eneanya, N. D., Takvorian, S. U., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.31640 · Cited by 740 · see citing works
Abraham, W. T., Stevenson, L. W., Bourge, R. C., Lindenfeld, J. A., Bauman, J. G., & Adamson, P. B. (2015) · The Lancet · doi:10.1016/s0140-6736(15)00723-0 · Cited by 609 · see citing works
Varma, N., Epstein, A. E., Irimpen, A., Schweikert, R., & Love, C. (2010) · Circulation · doi:10.1161/circulationaha.110.937409 · Cited by 594 · see citing works
Svendsen, J. H., Diederichsen, S. Z., Højberg, S., Krieger, D. W., Graff, C., Kronborg, C., Olesen, M. S., Nielsen, J. B., Holst, A. G., Brandes, A., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01698-6 · Cited by 550 · see citing works
Slotwiner, D. J., Varma, N., Akar, J. G., Annas, G. J., Beardsall, M., Fogel, R. I., Galizio, N. O., Glotzer, T. V., Leahy, R. A., Love, C. J., et al. (2015) · Heart Rhythm · doi:10.1016/j.hrthm.2015.05.008 · Cited by 533 · see citing works
The CONNECT (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision) Trial
Crossley, G. H., Boyle, A., Vitense, H., Chang, Y., & Mead, R. H. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.12.012 · Cited by 526 · see citing works
A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges
Ometov, A., Shubina, V., Klus, L., Skibińska, J., Saafi, S., Pascacio, P., Flueratoru, L., Quezada-Gaibor, D., Chukhno, N., Chukhno, O., et al. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.108074 · Cited by 523 · see citing works
Aceto, G., Persico, V., & Pescapé, A. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.02.008 · Cited by 504 · see citing works
Structured telephone support or non-invasive telemonitoring for patients with heart failure
Inglis, S. C., Clark, R. A., Dierckx, R., Prieto-Merino, D., & Cleland, J. G. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007228.pub3 · Cited by 453 · see citing works
Haemodynamic-guided management of heart failure (GUIDE-HF): a randomised controlled trial
Lindenfeld, J. M., Zile, M. R., Desai, A. S., Bhatt, K. A., Ducharme, A., Horstmanshof, D., Krim, S. R., Maisel, A. S., Mehra, M. R., Paul, S. C., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01754-2 · Cited by 433 · see citing works
Wearable Devices for Ambulatory Cardiac Monitoring
Sana, F., Isselbacher, E. M., Singh, J. P., Heist, E. K., Pathik, B., & Armoundas, A. A. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.01.046 · Cited by 362 · see citing works
Self-citationA randomized trial of long-term remote monitoring of pacemaker recipients (The COMPAS trial)
Mabo, P., Victor, F., Bazin, P., Ahres, S., Babuty, D., Da Costa, A., Binet, D., & Daubert, J.-C. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehr419 · Cited by 347 · see citing works
Machine Learning and the Future of Cardiovascular Care
Quer, G., Arnaout, R., Henne, M., & Arnaout, R. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.11.030 · Cited by 346 · see citing works
Stehlik, J., Schmalfuss, C., Bozkurt, B., Nativi-Nicolau, J., Wohlfahrt, P., Wegerich, S., Rose, K., Ray, R., Schofield, R., Deswal, A., et al. (2020) · Circulation Heart Failure · doi:10.1161/circheartfailure.119.006513 · Cited by 333 · see citing works
Frederix, I., Caiani, E. G., Dendale, P., Anker, S., Bax, J., Böhm, A., Cowie, M., Crawford, J., de Groot, N., Dilaveris, P., et al. (2019) · European Journal of Preventive Cardiology · doi:10.1177/2047487319832394 · Cited by 323 · see citing works
Self-citationOmboni, S., McManus, R. J., Bosworth, H. B., Chappell, L. C., Green, B. B., Kario, K., Logan, A. G., Magid, D. J., Mckinstry, B., Margolis, K. L., et al. (2020) · Hypertension · doi:10.1161/hypertensionaha.120.15873 · Cited by 307 · see citing works
Scherrenberg, M., Wilhelm, M., Hansen, D., Völler, H., Cornelissen, V., Frederix, I., Kemps, H., & Dendale, P. (2021) · European Journal of Preventive Cardiology · doi:10.1177/2047487320939671 · Cited by 251 · see citing works
Remote Monitoring of Implantable Cardioverter-Defibrillators
Parthiban, N., Esterman, A., Mahajan, R., Twomey, D. J., Pathak, R. K., Lau, D. H., Roberts‐Thomson, K. C., Young, G. D., Sanders, P., & Ganesan, A. N. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.04.029 · Cited by 247 · see citing works
The first generation of e-patients
Ferguson, T., & Frydman, G. (2004) · BMJ · doi:10.1136/bmj.328.7449.1148 · Cited by 224 · see citing works
Lin, M., Yuan, W., Huang, T., Zhang, H., Mai, J., & Wang, J. (2017) · Journal of Investigative Medicine · doi:10.1136/jim-2016-000199 · Cited by 198 · see citing works
Zhu, Y., Gu, X., & Xu, C. (2020) · Heart Failure Reviews · doi:10.1007/s10741-019-09801-5 · Cited by 172 · see citing works
Automatic Remote Monitoring of Implantable Cardioverter-Defibrillator Lead and Generator Performance
Varma, N., Michalski, J., Epstein, A. E., & Schweikert, R. A. (2010) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.110.951962 · Cited by 164 · see citing works
Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
Kwon, J., Kim, K.-H., Jeon, K., Lee, S. E., Lee, H.-Y., Cho, H.-J., Choi, J.-O., Jeon, E.-S., Kim, M.-S., Kim, J.-J., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0219302 · Cited by 140 · see citing works
Reduced No-Show Rates and Sustained Patient Satisfaction of Telehealth During the COVID-19 Pandemic
Drerup, B., Espenschied, J., Wiedemer, J., & Hamilton, L. A. (2021) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2021.0002 · Cited by 139 · see citing works
Patient Perceptions of Video Visits Using Veterans Affairs Telehealth Tablets: Survey Study
Slightam, C. A., Gregory, A. J., Hu, J., Jacobs, J., Gurmessa, T., Kimerling, R. E., Blonigen, D. M., & Zulman, D. M. (2020) · Journal of Medical Internet Research · doi:10.2196/15682 · Cited by 137 · see citing works
Mobile Health Advances in Physical Activity, Fitness, and Atrial Fibrillation
McConnell, M. V., Turakhia, M. P., Harrington, R. A., King, A. C., & Ashley, E. A. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.04.030 · Cited by 124 · see citing works
Self-citationFernandez, F., Osca, J., Romero, R., Lozano, I. F., Larrazabal, J. M., Ferrer, J. M., Ortiz, R., Pombo, M., Tornés, F. J., & Kolbolandi, M. M. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz067 · Cited by 117 · see citing works
Gawałko, M., Duncker, D., Manninger, M., van der Velden, R. M. J., Hermans, A. N. L., Verhaert, D. V. M., Pison, L., Pisters, R., Hemels, M., Sultan, A., et al. (2021) · EP Europace · doi:10.1093/europace/euab050 · Cited by 106 · see citing works
Self-citationCho, J., Lee, B., Kwon, J., Lee, Y., Park, H., Oh, B., Jeon, K., Park, J., & Kim, K. (2020) · ASAIO Journal · doi:10.1097/mat.0000000000001218 · Cited by 92 · see citing works
Kwon, J.-M., Kim, K.-H., Eisen, H. J., Cho, Y., Jeon, K.-H., Lee, S. Y., Park, J., & Oh, B.-H. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztaa015 · Cited by 82 · see citing works
Mittal, S., Oliveros, S., Li, J., Barroyer, T., Henry, C., & Gardella, C. (2021) · JACC. Clinical electrophysiology · doi:10.1016/j.jacep.2020.12.006 · Cited by 76 · see citing works
Shang, T., Zhang, J. Y., Thomas, A., Arnold, M. A., Vetter, B., Heinemann, L., & Klonoff, D. C. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211007212 · Cited by 73 · see citing works
Saiyed, S. M., Nguyen, A., & Singh, R. K. (2021) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2020.0492 · Cited by 72 · see citing works
Friedrich, S., Groß, S., König, I. R., Engelhardt, S., Bahls, M., Heinz, J., Huber, C., Kaderali, L., Kelm, M., Leha, A., et al. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab054 · Cited by 71 · see citing works
The Digital Transformation of Healthcare
Belliger, A., & Krieger, D. J. (2018) · Progress in IS · doi:10.1007/978-3-319-73546-7_19 · Cited by 64 · see citing works
Self-citationHewitt‐Taylor, J., & Bond, C. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2068 · Cited by 58 · see citing works
Implantable Sensors for Heart Failure
Merchant, F. M., Dec, G. W., & Singh, J. P. (2010) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.110.959502 · Cited by 58 · see citing works
Self-citationPersonalized and automated remote monitoring of atrial fibrillation
Rosier, A., Mabo, P., Temal, L., van Hille, P., Dameron, O., Deléger, L., Grouin, C., Zweigenbaum, P., Jacques, J., Chazard, E., et al. (2015) · EP Europace · doi:10.1093/europace/euv234 · Cited by 58 · see citing works
The Outlook of Digital Health for Cardiovascular Medicine
Turakhia, M. P., Desai, S. A., & Harrington, R. A. (2016) · JAMA Cardiology · doi:10.1001/jamacardio.2016.2661 · Cited by 56 · see citing works
Self-citationSimovic, S. M., Providencia, R. A., Barra, S., Kirćanski, B., Palmero, M. J. G., Conte, G., Duncker, D., Marijon, É., Anić, A., & Bovéda, S. (2021) · EP Europace · doi:10.1093/europace/euab215 · Cited by 51 · see citing works
Keeping what works: remote consultations during the COVID-19 pandemic
Erica, Richardson, Dalhia, et al. (2020) · Eurohealth · Cited by 50 · see citing works
Manninger, M., Zweiker, D., Svennberg, E., Chatzikyriakou, S. V., Pavlović, N., Zaman, J. A. B., Kirćanski, B., Lenarczyk, R., Vanduynhoven, P., Kosiuk, J., et al. (2021) · EP Europace · doi:10.1093/europace/euab064 · Cited by 49 · see citing works
Self-citation(2020) · PubMed Central · doi:10.6515/acs.202005_36(3).20190903a · Cited by 44 · see citing works
Chen, P. V., Helm, A., Fletcher, T. L., Wassef, M., Hogan, J., Amspoker, A., Cloître, M., & Lindsay, J. A. (2021) · Telemedicine Reports · doi:10.1089/tmr.2021.0005 · Cited by 40 · see citing works
Alotaibi, S. R., Hernández-Montfort, J., Ali, O. E., Chilali, K. E., & Perez-Villa, B. (2020) · Heart Failure Reviews · doi:10.1007/s10741-020-09923-1 · Cited by 38 · see citing works
Nies, S., Patel, S., Shafer, M., Longman, L., Sharif, I., & Pina, P. R. (2021) · JMIR Formative Research · doi:10.2196/26565 · Cited by 38 · see citing works
HAJDUCZOK, A. G., Muallem, S. N., Nudy, M. S., DeWaters, A. L., & BOEHMER, J. P. (2021) · Heart Failure Reviews · doi:10.1007/s10741-021-10150-5 · Cited by 35 · see citing works
Jang, J.-P., Lin, H.-T., Chen, Y.-J., HSIEH, M., & Huang, Y. (2020) · Circulation Journal · doi:10.1253/circj.cj-20-0633 · Cited by 30 · see citing works
Han, J. K., Al-Khatib, S. M., & Albert, C. M. (2021) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2020.12.001 · Cited by 29 · see citing works
Thomson, M. D., Mariani, A. C., Williams, A. R., Sutton, A. L., & Sheppard, V. B. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.19530 · Cited by 27 · see citing works
Hassanaly, P., & Dufour, J.-C. (2021) · Medical Devices Evidence and Research · doi:10.2147/mder.s328996 · Cited by 25 · see citing works
Kubes, J., Graetz, I., Wiley, Z., Franks, N. M., & Kulshreshtha, A. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101629 · Cited by 22 · see citing works
Asteggiano, R., Cowie, M., Richter, D. J., et al. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab032 · Cited by 15 · see citing works
Self-citationMhanna, M., Beran, A., Nazir, S., Al‐Abdouh, A., Barbarawi, M., Sajdeya, O., Srour, O., Altujjar, M., Patel, R. B., & Eltahawy, E. A. (2021) · Heart Failure Reviews · doi:10.1007/s10741-021-10176-9 · Cited by 13 · see citing works
An Update on mHealth Regulation in the United States
Blumenfeld, B. A. B., & Garvin, W. A. (2013) · Journal of Mobile Technology in Medicine · doi:10.7309/jmtm.2.3.1 · Cited by 5 · see citing works
5. Organizing Networks in the Digital Age
Belliger, A., & Krieger, D. J. (2016) · transcript Verlag eBooks · doi:10.1515/9783839436165-006 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Spotlight on the 2024 ESC/EACTS management of atrial fibrillation guidelines: 10 novel key aspects
Rienstra, M., Tzeis, S., Bunting, K. V., Caso, V., Crijns, H. J. G. M., De Potter, T. J. R., Sanders, P., Svennberg, E., Casado-Arroyo, R., Dwight, J., et al. (2024) · Europace · doi:10.1093/europace/euae298 · Cited by 128 · see citing works
Self-citationMarvasti, T. B., Gao, Y., Murray, K. R., Hershman, S., McIntosh, C., & Moayedi, Y. (2024) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2024.07.009 · Cited by 35 · see citing works
- Authors
- Leclercq, C., Witt, H., Hindricks, G., Katra, R. P., Albert, D., Belliger, A., Cowie, M. R., Deneke, T., Friedman, P., Haschemi, M., Lobban, T., Lordereau, I., McConnell, M. V., Rapallini, L., Samset, E., Turakhia, M. P., Singh, J. P., Svennberg, E., Wadhwa, M., & Weidinger, F.
- Affiliations
- Inserm (FR)
- Pfizer (Germany) (DE)
- Leipzig Heart Institute (DE)
- Medtronic (United States) (US)
- AliveCor Inc., Mountain View , CA , USA
- Institute for Communication and Leadership, and Lucerne University of Education , Lucerne , Switzerland
- Royal Brompton Hospital & School of Cardiovascular Medicine & Sciences, Faculty of Life Sciences & Medicine, King’s College London , London , UK
- Clinic for Interventional Electrophysiology and Arrhythmology Heart Center , Bad Neustadt , Germany
- Mayo Clinic (US)
- Siemens Healthineers (Germany) (DE)
- Atrial Fibrillation Association (AF Association), Arrhythmia Alliance (A-A), and STARS (Syncope Trust And Reflex anoxic Seizures) , UK & International
- General Medicine Europe, Amgen Europe , Rotkreutz, ZG , Switzerland
- Google (United States) (US)
- GE Healthcare Cardiology Solutions , Chicago, IL , USA
- VA Palo Alto Health Care System (US)
- Harvard University (US)
- Karolinska University Hospital (SE)
- Biotelemetry, A Philips Company , San Diego, CA , USA
- 2nd Medical Department with Cardiology and Intensive Care Medicine, Klinik Landstrasse , Vienna , Austria
- Corresponding author
- Leclercq, Christophe
- ORCID
- Venue
- EP Europace
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-05-31
- Volume
- 24
- Issue
- 9
- Pages
- 1372-1383
- ISSN
- 1099-5129 (ISSN-L)
- 1532-2092
- OpenAlex
- W4226246272
- Cited by
- 109
- References
- 64
- Citations by year
- 2026: 10 · 2025: 32 · 2024: 36 · 2023: 26 · 2022: 5
- FWCI
- 17.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- EP Europace (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- European Society of Cardiology
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- wearable devices, telemedicine, artificial intelligence, cardiac arrhythmias, heart failure, atrial fibrillation, digital health, patient-generated health data, biomedical implants, cardiovascular screening, hypertension, data privacy and security, regulatory evaluation, value assessment, health data integration
- MeSH terms
- Wearable Electronic Devices, Arrhythmias, Cardiac, Artificial Intelligence, Cardiology, Cardiovascular Diseases, Glucose, Heart Failure, Humans, Telemedicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
