Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: Proceedings of the European Society of Cardiology Cardiovascular Round Table
| Autor: | Christophe Leclercq, Henning Witt, Gerhard Hindricks, Rodolphe P Katra, Dave Albert, Andrea Belliger, Martin R Cowie, Thomas Deneke, Paul Friedman, Mehdiyar Haschemi, Trudie Lobban, Isabelle Lordereau, Michael V McConnell, Leonardo Rapallini, Eigil Samset, Mintu P Turakhia, Jagmeet P Singh, Emma Svennberg, Manish Wadhwa, Franz Weidinger |
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| Přispěvatelé: | CHU Pontchaillou [Rennes], Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Pfizer, Leipzig University, Medtronic Inc [Minneapolis, MI, USA], Lucerne University of Applied Sciences and Arts [Luzern], King‘s College London, Royal Brompton Hospital, Mayo Clinic [Rochester], Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford University School of Medicine [CA, USA], Massachusetts General Hospital [Boston], Karolinska University Hospital [Stockholm], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Medtronic [Minneapolis, MI, USA] |
| Rok vydání: | 2022 |
| Předmět: |
Heart Failure
Artificial intelligence Monitoring Cardiology Arrhythmias Cardiac Early detection Telemedicine Wearable devices Wearable Electronic Devices Glucose Cardiovascular Diseases Digital healthcare solutions Physiology (medical) Humans [SDV.IB]Life Sciences [q-bio]/Bioengineering M-health Cardiology and Cardiovascular Medicine |
| Zdroj: | EP-Europace EP-Europace, 2022, ⟨10.1093/europace/euac052⟩ EP-Europace, Oxford University Press (OUP): Policy B, 2022, ⟨10.1093/europace/euac052⟩ |
| ISSN: | 1532-2092 1099-5129 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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