Unlocking the potential of artificial intelligence in sports cardiology : does it have a role in evaluating athlete's heart?
© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
The integration of artificial intelligence (AI) technologies is evolving in different fields of cardiology and in particular in sports cardiology. Artificial intelligence offers significant opportunities to enhance risk assessment, diagnosis, treatment planning, and monitoring of athletes. This article explores the application of AI in various aspects of sports cardiology, including imaging techniques, genetic testing, and wearable devices. The use of machine learning and deep neural networks enables improved analysis and interpretation of complex datasets. However, ethical and legal dilemmas must be addressed, including informed consent, algorithmic fairness, data privacy, and intellectual property issues. The integration of AI technologies should complement the expertise of physicians, allowing for a balanced approach that optimizes patient care and outcomes. Ongoing research and collaborations are vital to harness the full potential of AI in sports cardiology and advance our management of cardiovascular health in athletes.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2024 |
---|---|
Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:31 |
---|---|
Enthalten in: |
European journal of preventive cardiology - 31(2024), 4 vom: 04. März, Seite 470-482 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Palermi, Stefano [VerfasserIn] |
---|
Links: |
---|
Themen: |
Artificial intelligence |
---|
Anmerkungen: |
Date Completed 06.03.2024 Date Revised 06.03.2024 published: Print Citation Status MEDLINE |
---|
doi: |
10.1093/eurjpc/zwae008 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM366893645 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM366893645 | ||
003 | DE-627 | ||
005 | 20240306232712.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240114s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1093/eurjpc/zwae008 |2 doi | |
028 | 5 | 2 | |a pubmed24n1318.xml |
035 | |a (DE-627)NLM366893645 | ||
035 | |a (NLM)38198776 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Palermi, Stefano |e verfasserin |4 aut | |
245 | 1 | 0 | |a Unlocking the potential of artificial intelligence in sports cardiology |b does it have a role in evaluating athlete's heart? |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 06.03.2024 | ||
500 | |a Date Revised 06.03.2024 | ||
500 | |a published: Print | ||
500 | |a Citation Status MEDLINE | ||
520 | |a © The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
520 | |a The integration of artificial intelligence (AI) technologies is evolving in different fields of cardiology and in particular in sports cardiology. Artificial intelligence offers significant opportunities to enhance risk assessment, diagnosis, treatment planning, and monitoring of athletes. This article explores the application of AI in various aspects of sports cardiology, including imaging techniques, genetic testing, and wearable devices. The use of machine learning and deep neural networks enables improved analysis and interpretation of complex datasets. However, ethical and legal dilemmas must be addressed, including informed consent, algorithmic fairness, data privacy, and intellectual property issues. The integration of AI technologies should complement the expertise of physicians, allowing for a balanced approach that optimizes patient care and outcomes. Ongoing research and collaborations are vital to harness the full potential of AI in sports cardiology and advance our management of cardiovascular health in athletes | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Athlete’s heart | |
650 | 4 | |a Cardiovascular prevention | |
650 | 4 | |a Deep learning | |
650 | 4 | |a Machine learning | |
650 | 4 | |a Sports cardiology | |
700 | 1 | |a Vecchiato, Marco |e verfasserin |4 aut | |
700 | 1 | |a Saglietto, Andrea |e verfasserin |4 aut | |
700 | 1 | |a Niederseer, David |e verfasserin |4 aut | |
700 | 1 | |a Oxborough, David |e verfasserin |4 aut | |
700 | 1 | |a Ortega-Martorell, Sandra |e verfasserin |4 aut | |
700 | 1 | |a Olier, Ivan |e verfasserin |4 aut | |
700 | 1 | |a Castelletti, Silvia |e verfasserin |4 aut | |
700 | 1 | |a Baggish, Aaron |e verfasserin |4 aut | |
700 | 1 | |a Maffessanti, Francesco |e verfasserin |4 aut | |
700 | 1 | |a Biffi, Alessandro |e verfasserin |4 aut | |
700 | 1 | |a D'Andrea, Antonello |e verfasserin |4 aut | |
700 | 1 | |a Zorzi, Alessandro |e verfasserin |4 aut | |
700 | 1 | |a Cavarretta, Elena |e verfasserin |4 aut | |
700 | 1 | |a D'Ascenzi, Flavio |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t European journal of preventive cardiology |d 2012 |g 31(2024), 4 vom: 04. März, Seite 470-482 |w (DE-627)NLM19817909X |x 2047-4881 |7 nnns |
773 | 1 | 8 | |g volume:31 |g year:2024 |g number:4 |g day:04 |g month:03 |g pages:470-482 |
856 | 4 | 0 | |u http://dx.doi.org/10.1093/eurjpc/zwae008 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 31 |j 2024 |e 4 |b 04 |c 03 |h 470-482 |