Future of cardiovascular diagnosis with the support of artificial intelligence

RYMARZ, Anna, GRABOWSKA, Ewa, WOJTALA, Laura, MUSIAŁ, Lena, MOŻDŻYŃSKA, Agnieszka, KAPŁON, Kamil, KAMIŃSKA, Izabela, KOJDER, Dominika and SIERPIEŃ, Małgorzata. Future of cardiovascular diagnosis with the support of artificial intelligence. Journal of Education, Health and Sport. 2023;44(1):11-22. eISSN 2391-8306. http://dx.doi.org/10.12775/JEHS.2023.44.01.001

https://apcz.umk.pl/JEHS/article/view/45179

https://zenodo.org/record/8238884

 

 

 

 

 

The journal has had 40 points in Ministry of Education and Science of Poland parametric evaluation. Annex to the announcement of the Minister of Education and Science of 17.07.2023 No. 32318. Has a Journal's Unique Identifier: 201159. Scientific disciplines assigned: Physical Culture Sciences (Field of Medical sciences and health sciences); Health Sciences (Field of Medical Sciences and Health Sciences).

Punkty Ministerialne z 2019 - aktualny rok 40 punktów. Załącznik do komunikatu Ministra Edukacji i Nauki z dnia 17.07.2023 Lp. 32318. Posiada Unikatowy Identyfikator Czasopisma: 201159.

Przypisane dyscypliny naukowe: Nauki o kulturze fizycznej (Dziedzina nauk medycznych i nauk o zdrowiu); Nauki o zdrowiu (Dziedzina nauk medycznych i nauk o zdrowiu).

© The Authors 2023;

This article is published with open access at Licensee Open Journal Systems of Nicolaus Copernicus University in Torun, Poland

Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author (s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non commercial license Share alike.

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The authors declare that there is no conflict of interests regarding the publication of this paper.

Received: 18.07.2023. Revised:10.08.2023. Accepted: 11.08.2023. Published: 18.08.2023.

 

 

 

 

 

 

FUTURE OF CARDIOVASCULAR DIAGNOSIS WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE

Authors:

Anna Rymarz ORCID: 0000-0003-3387-1569, ania_rymarz@onet.pl, Szpital MSWiA w Lublinie, ul. Grenadierów 3, 20-331 Lublin;

Ewa Grabowska, ORCID: 0000-0003-1426-5205, ewamich343@gmail.com, Nowodworskie Centrum Medyczne ul. Miodowa 2, 05-100 Nowy Dwór Mazowiecki;

Laura Wojtala ORCID: 0000-0002-5715-2334, lauramwojtala@gmail.com, Uniwersytecki Szpital Kliniczny w Poznaniu, ul. Przybyszewskiego 49, 60-355 Poznań;

Lena Musiał ORCID: 0000-0002-1998-6477, musialka96@gmail.com, Szpital Średzki Serca Jezusowego Sp. z o.o. ul. Żwirki i Wigury 10, 63-000 Środa Wielkopolska;

Agnieszka Możdżyńska ORCID: 0000-0001-8590-0486, a.mozdzynska@icloud.com, Szpital Średzki Serca Jezusowego Sp. z o.o. ul. Żwirki i Wigury 10, 63-000 Środa Wielkopolska;

Kamil Kapłon ORCID: 0000-0002-8110-9352, kamil.kaplon.2022@gmail.com, Uniwersytecki Szpital Kliniczny w Poznaniu, ul. Przybyszewskiego 49, 60-355 Poznań;

Izabela Kamińska, ORCID: 0000-0002-5766-2262, izakam303@gmail.com, Szpital Czerniakowski  sp. z o. o., ul. Stępińska 19/25 , 00-739 Warszawa;

Dominika Kojder, ORCID: 0000-0002-8915-4959, dominika.kojder9@gmail.com, Samodzielny Publiczny Zakład Opieki Zdrowotnej w Przeworsku ul. Szpitalna 16 37-200 Przeworsk;

Malgorzata Sierpień: ORCID: 0000-0002-0119-2775, m.sierpien97@wp.pl, 1 Wojskowy Szpital Kliniczny z Polikliniką SPZOZ, Al. Racławickie 23, 20-049 Lublin

 

ABSTRACT:

Introduction:

 

Term Artificial inteligence was used for the first time by John McCarthy in 1956, from that time we can observe its great development, espiecially in the past decade.  Nowadays, Artificial inteligence present a great influence in every aspect of human life, also health care. In times of digitalizaton, great data bases it can enable an improvment in all aspects of healthcare system such as prevention, screening and treatment of diseases.

 

Purpose:

The main purpose of the work was to present the basic aspects related to artificial intelligence. Another important aspect of the article was to indicate the possibilities related to their use in cardiology to improve the effectiveness of doctors and make medical treatment more detailed and personalized, but also to clarify terms related do AI, such as machine learning or deep learning.

 

Materials and methods:

For the purpose of writing this article, the available literature was reviewed. Using keywords such as artificial inteligence, cardiology, machine learning, echocardiography, deep learning, data bases PubMed we ware searching for various clinical trials, meta analysis and randomized controlled trials from past 5 years.

 

Results:

According to the data published on the website of the World Health Organization (WHO), cardiovascular diseases remain the main cause of mortality worldwide.  It is the reason of the great interest in its use in cardiology. Algorithms based on artificial intelligence are also used in electrocardiography. The use of artificial intelligence can improve the estimation of cardiovascular risk. Its use in the healing process is also being investigated.  

 

Conclusion:  

Artificial intelligence is used in many fields, including medicine. Its use may have a positive impact on the quality of medical care. Artificial intelligence also has numerous limitations.

Due to this, it is necessary to develop and improve artificial intelligence.

 

Key words:

Artificial intelligence, cardiology, machine learning, echocardiography, electrokardiography, atrial fibrillation, deep learning, data bases