IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i8p1083-d1458037.html
   My bibliography  Save this article

Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy

Author

Listed:
  • Maria Restrepo Tique

    (Facultad de Ingeniería, Universidad de Ibagué, Carrera 22 Calle 67, Ibagué 730002, Colombia)

  • Oscar Araque

    (Facultad de Ingeniería, Universidad de Ibagué, Carrera 22 Calle 67, Ibagué 730002, Colombia)

  • Luz Adriana Sanchez-Echeverri

    (Facultad de Ciencias Naturales y Matemáticas, Universidad de Ibagué, Carrera 22 Calle 67, Ibagué 730002, Colombia)

Abstract

This article reviews technological advances and global trends in the diagnosis, treatment, and monitoring of cardiovascular diseases. A bibliometric analysis was conducted using the SCOPUS database, following PRISMA-ScR guidelines, to identify relevant publications on technologies applied in the diagnosis and treatment of cardiovascular diseases. An increase in scientific output since 2018 was observed, reflecting a growing interest in the technologies available for the treatment of cardiovascular diseases, with terms such as “telemedicine”, “artificial intelligence”, “image analysis”, and “cardiovascular disease” standing out as some of the most commonly used terms in reference to CVDs. Significant trends were identified, such as the use of artificial intelligence in precision medicine and machine learning algorithms to analyse data and predict cardiovascular risk, as well as advances in image analysis and 3D printing. Highlighting the role of artificial intelligence in the diagnosis and continuous monitoring of cardiovascular diseases, showing its potential to improve prognosis and reduce the incidence of acute cardiovascular events, this study presents the integration of traditional cardiology methods with digital health technologies—through a transdisciplinary approach—as a new direction in cardiovascular health, emphasising individualised care and improved clinical outcomes. These advances have great potential to impact healthcare, and as this field expands, it is crucial to understand the current research landscape and direction in order to take advantage of each technological advancement for improving the diagnosis, treatment, and quality of life of cardiovascular patients. It is concluded that the integration of these technologies into clinical practice has important implications for public health. Early detection and personalised treatment of cardiovascular diseases (CVDs) can significantly reduce the morbidity and mortality associated with these diseases. In addition, the optimisation of public health resources through telemedicine and telecare can improve access to quality care. The implementation of these technologies can be a crucial step towards reducing the global burden of cardiovascular diseases.

Suggested Citation

  • Maria Restrepo Tique & Oscar Araque & Luz Adriana Sanchez-Echeverri, 2024. "Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy," IJERPH, MDPI, vol. 21(8), pages 1-15, August.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:1083-:d:1458037
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/8/1083/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/21/8/1083/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marianne Gauffriau & Peder Olesen Larsen & Isabelle Maye & Anne Roulin-Perriard & Markus Ins, 2007. "Publication, cooperation and productivity measures in scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(2), pages 175-214, November.
    2. Christian Weismayer & Ilona Pezenka, 2017. "Identifying emerging research fields: a longitudinal latent semantic keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1757-1785, December.
    3. Rosanne Freak-Poli & Jessie Hu & Aung Zaw Zaw Phyo & S. Fiona Barker, 2023. "Social Isolation and Social Support Influence Health Service Utilisation and Survival after a Cardiovascular Disease Event: A Systematic Review," IJERPH, MDPI, vol. 20(6), pages 1-25, March.
    4. Hsiang-Yun Chou & Ya-Wen Tsai & Shang-Chun Ma & Shang-Min Ma & Chia-Li Shih & Chieh-Ting Yeh, 2023. "Efficacy and Cost over 12 Hospitalization Weeks of Postacute Care for Stroke," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    5. Zhonghui Zheng & Ping Zhang & Fangzheng Yuan & Yunque Bo, 2022. "Scientometric Analysis of The Relationship between a Built Environment and Cardiovascular Disease," IJERPH, MDPI, vol. 19(9), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    2. de Oliveira, Thaiane Moreira & de Albuquerque, Sofia & Toth, Janderson Pereira & Bello, Debora Zava, 2018. "International cooperation networks of the BRICS bloc," SocArXiv b6x43, Center for Open Science.
    3. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    4. Igor Barahona & Daría Micaela Hernández & Héctor Hugo Pérez-Villarreal & María Pilar Martínez-Ruíz, 2018. "Identifying research topics in marketing science along the past decade: a content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 293-312, October.
    5. Félix Moya-Anegón & Vicente P. Guerrero-Bote & Lutz Bornmann & Henk F. Moed, 2013. "The research guarantors of scientific papers and the output counting: a promising new approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 421-434, November.
    6. Ugo Finardi & Andrea Buratti, 2016. "Scientific collaboration framework of BRICS countries: an analysis of international coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 433-446, October.
    7. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    8. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    9. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    10. Tanel Hirv, 2022. "The interplay of the size of the research system, ways of collaboration, level, and method of funding in determining bibliometric outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1295-1316, March.
    11. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    12. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    13. Daria Maltseva & Vladimir Batagelj, 2020. "Towards a systematic description of the field using keywords analysis: main topics in social networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 357-382, April.
    14. Mallig, Nicolai, 2010. "A relational database for bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(4), pages 564-580.
    15. Bornmann, Lutz, 2019. "Does the normalized citation impact of universities profit from certain properties of their published documents – such as the number of authors and the impact factor of the publishing journals? A mult," Journal of Informetrics, Elsevier, vol. 13(1), pages 170-184.
    16. Dong Geun Choi & Heesang Lee & Tae-kyung Sung, 2011. "Research profiling for ‘standardization and innovation’," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 259-278, July.
    17. Jesper W. Schneider & Thed Leeuwen & Martijn Visser & Kaare Aagaard, 2019. "Examining national citation impact by comparing developments in a fixed and a dynamic journal set," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 973-985, May.
    18. Tatiana Lisitskaya & Pavel Taranov & Ekaterina Ugnich & Vladimir Pislyakov, 2024. "Pillar Universities in Russia: Bibliometrics of ‘the second best’," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 365-383, February.
    19. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    20. Peder Olesen Larsen, 2008. "The state of the art in publication counting," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 235-251, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:1083-:d:1458037. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.