Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance
Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading cause of morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Cardiology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2020/4972346 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850107240474738688 |
|---|---|
| author | Silvia Romiti Mattia Vinciguerra Wael Saade Iñaki Anso Cortajarena Ernesto Greco |
| author_facet | Silvia Romiti Mattia Vinciguerra Wael Saade Iñaki Anso Cortajarena Ernesto Greco |
| author_sort | Silvia Romiti |
| collection | DOAJ |
| description | Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading cause of morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we practice cardiology, especially in imaging, offering us novel tools to interpret data and make clinical decisions. AI techniques such as machine learning and deep learning can also improve medical knowledge due to the increase of the volume and complexity of the data, unlocking clinically relevant information. Likewise, the use of emerging communication and information technologies is becoming pivotal to create a pervasive healthcare service through which elderly and chronic disease patients can receive medical care at their home, reducing hospitalizations and improving quality of life. The aim of this review is to describe the contemporary state of artificial intelligence and digital health applied to cardiovascular medicine as well as to provide physicians with their potential not only in cardiac imaging but most of all in clinical practice. |
| format | Article |
| id | doaj-art-4d40f69ad0d34d18926a30b36765dd99 |
| institution | OA Journals |
| issn | 2090-8016 2090-0597 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cardiology Research and Practice |
| spelling | doaj-art-4d40f69ad0d34d18926a30b36765dd992025-08-20T02:38:38ZengWileyCardiology Research and Practice2090-80162090-05972020-01-01202010.1155/2020/49723464972346Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected AllianceSilvia Romiti0Mattia Vinciguerra1Wael Saade2Iñaki Anso Cortajarena3Ernesto Greco4Department of Clinical Internal Medicine Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Rome, ItalyDepartment of Clinical Internal Medicine Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Rome, ItalyDepartment of Clinical Internal Medicine Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Rome, ItalyMBA IESE, Financial Advisory M&A Transaction Serv. Deloitte, Barcelona, SpainDepartment of Clinical Internal Medicine Anaesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Rome, ItalyCardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading cause of morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we practice cardiology, especially in imaging, offering us novel tools to interpret data and make clinical decisions. AI techniques such as machine learning and deep learning can also improve medical knowledge due to the increase of the volume and complexity of the data, unlocking clinically relevant information. Likewise, the use of emerging communication and information technologies is becoming pivotal to create a pervasive healthcare service through which elderly and chronic disease patients can receive medical care at their home, reducing hospitalizations and improving quality of life. The aim of this review is to describe the contemporary state of artificial intelligence and digital health applied to cardiovascular medicine as well as to provide physicians with their potential not only in cardiac imaging but most of all in clinical practice.http://dx.doi.org/10.1155/2020/4972346 |
| spellingShingle | Silvia Romiti Mattia Vinciguerra Wael Saade Iñaki Anso Cortajarena Ernesto Greco Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance Cardiology Research and Practice |
| title | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
| title_full | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
| title_fullStr | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
| title_full_unstemmed | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
| title_short | Artificial Intelligence (AI) and Cardiovascular Diseases: An Unexpected Alliance |
| title_sort | artificial intelligence ai and cardiovascular diseases an unexpected alliance |
| url | http://dx.doi.org/10.1155/2020/4972346 |
| work_keys_str_mv | AT silviaromiti artificialintelligenceaiandcardiovasculardiseasesanunexpectedalliance AT mattiavinciguerra artificialintelligenceaiandcardiovasculardiseasesanunexpectedalliance AT waelsaade artificialintelligenceaiandcardiovasculardiseasesanunexpectedalliance AT inakiansocortajarena artificialintelligenceaiandcardiovasculardiseasesanunexpectedalliance AT ernestogreco artificialintelligenceaiandcardiovasculardiseasesanunexpectedalliance |