Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond
New technologies have been recently introduced to improve the monitoring of patients with chronic syndromes such as heart failure. Devices can now be employed to gather large amounts of data and data processing through artificial intelligence techniques may improve heart failure management and reduc...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Radcliffe Medical Media
2020-06-01
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| Series: | Cardiac Failure Review |
| Online Access: | https://www.cfrjournal.com/articleindex/cfr.2019.17 |
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| _version_ | 1846122458022674432 |
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| author | Domenico D’Amario Francesco Canonico Daniele Rodolico Josip A Borovac Rocco Vergallo Rocco Antonio Montone Mattia Galli Stefano Migliaro Attilio Restivo Massimo Massetti Filippo Crea |
| author_facet | Domenico D’Amario Francesco Canonico Daniele Rodolico Josip A Borovac Rocco Vergallo Rocco Antonio Montone Mattia Galli Stefano Migliaro Attilio Restivo Massimo Massetti Filippo Crea |
| author_sort | Domenico D’Amario |
| collection | DOAJ |
| description | New technologies have been recently introduced to improve the monitoring of patients with chronic syndromes such as heart failure. Devices can now be employed to gather large amounts of data and data processing through artificial intelligence techniques may improve heart failure management and reduce costs. The analysis of large datasets using an artificial intelligence technique is leading to a paradigm shift in the era of precision medicine. However, the assessment of clinical safety and the evaluation of the potential benefits is still a matter of debate. In this article, the authors aim to focus on the development of these new tools and to draw the attention to their transition in daily clinical practice. |
| format | Article |
| id | doaj-art-47a6c20987784424b7ab450436446d8e |
| institution | Kabale University |
| issn | 2057-7540 2057-7559 |
| language | English |
| publishDate | 2020-06-01 |
| publisher | Radcliffe Medical Media |
| record_format | Article |
| series | Cardiac Failure Review |
| spelling | doaj-art-47a6c20987784424b7ab450436446d8e2024-12-14T16:02:10ZengRadcliffe Medical MediaCardiac Failure Review2057-75402057-75592020-06-01610.15420/cfr.2019.17Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and BeyondDomenico D’Amario0Francesco Canonico1Daniele Rodolico2Josip A Borovac3Rocco Vergallo4Rocco Antonio Montone5Mattia Galli6Stefano Migliaro7Attilio Restivo8Massimo Massetti9Filippo Crea10Department of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Pathophysiology, University of Split School of Medicine, Split, Croatia; Working Group on Heart Failure of Croatian Cardiac Society, Zagreb, CroatiaDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyDepartment of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, ItalyNew technologies have been recently introduced to improve the monitoring of patients with chronic syndromes such as heart failure. Devices can now be employed to gather large amounts of data and data processing through artificial intelligence techniques may improve heart failure management and reduce costs. The analysis of large datasets using an artificial intelligence technique is leading to a paradigm shift in the era of precision medicine. However, the assessment of clinical safety and the evaluation of the potential benefits is still a matter of debate. In this article, the authors aim to focus on the development of these new tools and to draw the attention to their transition in daily clinical practice.https://www.cfrjournal.com/articleindex/cfr.2019.17 |
| spellingShingle | Domenico D’Amario Francesco Canonico Daniele Rodolico Josip A Borovac Rocco Vergallo Rocco Antonio Montone Mattia Galli Stefano Migliaro Attilio Restivo Massimo Massetti Filippo Crea Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond Cardiac Failure Review |
| title | Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond |
| title_full | Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond |
| title_fullStr | Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond |
| title_full_unstemmed | Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond |
| title_short | Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond |
| title_sort | telemedicine artificial intelligence and humanisation of clinical pathways in heart failure management back to the future and beyond |
| url | https://www.cfrjournal.com/articleindex/cfr.2019.17 |
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