» Articles » PMID: 35544307

Research on Digital Technology Use in Cardiology: Bibliometric Analysis

Abstract

Background: Digital technology uses in cardiology have become a popular research focus in recent years. However, there has been no published bibliometric report that analyzed the corresponding academic literature in order to derive key publishing trends and characteristics of this scientific area.

Objective: We used a bibliometric approach to identify and analyze the academic literature on digital technology uses in cardiology, and to unveil popular research topics, key authors, institutions, countries, and journals. We further captured the cardiovascular conditions and diagnostic tools most commonly investigated within this field.

Methods: The Web of Science electronic database was queried to identify relevant papers on digital technology uses in cardiology. Publication and citation data were acquired directly from the database. Complete bibliographic data were exported to VOSviewer, a dedicated bibliometric software package, and related to the semantic content of titles, abstracts, and keywords. A term map was constructed for findings visualization.

Results: The analysis was based on data from 12,529 papers. Of the top 5 most productive institutions, 4 were based in the United States. The United States was the most productive country (4224/12,529, 33.7%), followed by United Kingdom (1136/12,529, 9.1%), Germany (1067/12,529, 8.5%), China (682/12,529, 5.4%), and Italy (622/12,529, 5.0%). Cardiovascular diseases that had been frequently investigated included hypertension (152/12,529, 1.2%), atrial fibrillation (122/12,529, 1.0%), atherosclerosis (116/12,529, 0.9%), heart failure (106/12,529, 0.8%), and arterial stiffness (80/12,529, 0.6%). Recurring modalities were electrocardiography (170/12,529, 1.4%), angiography (127/12,529, 1.0%), echocardiography (127/12,529, 1.0%), digital subtraction angiography (111/12,529, 0.9%), and photoplethysmography (80/12,529, 0.6%). For a literature subset on smartphone apps and wearable devices, the Journal of Medical Internet Research (20/632, 3.2%) and other JMIR portfolio journals (51/632, 8.0%) were the major publishing venues.

Conclusions: Digital technology uses in cardiology target physicians, patients, and the general public. Their functions range from assisting diagnosis, recording cardiovascular parameters, and patient education, to teaching laypersons about cardiopulmonary resuscitation. This field already has had a great impact in health care, and we anticipate continued growth.

Citing Articles

Global output of clinical application research on artificial intelligence in the past decade: a scientometric study and science mapping.

Shi J, Yue S, Chen H, Fang F, Wang X, Xue J Syst Rev. 2025; 14(1):62.

PMID: 40089747 DOI: 10.1186/s13643-025-02779-2.


What Is the Current Status of Research on the Impact of Digitalization in Medicine? A Bibliometric Analysis.

Badareu G, Carstina S, Militaru F, Siminica M, Circiumaru D Healthcare (Basel). 2025; 13(2.

PMID: 39857120 PMC: 11764750. DOI: 10.3390/healthcare13020093.


Reflections From the Annals of Surgical Oncology Social Media Committee: The Impact of Promoting Surgical Science Online.

Narayan R, Fleming A, Gunder M, Zafar S, Abdelsattar Z, Bilir E Ann Surg Oncol. 2024; 32(2):656-664.

PMID: 39532759 DOI: 10.1245/s10434-024-16420-4.


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

Restrepo Tique M, Araque O, Sanchez-Echeverri L Int J Environ Res Public Health. 2024; 21(8).

PMID: 39200692 PMC: 11354672. DOI: 10.3390/ijerph21081083.


Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis.

Wu M, Islam M, Poly T, Lin M Interact J Med Res. 2024; 13:e54490.

PMID: 38621231 PMC: 11058558. DOI: 10.2196/54490.


References
1.
Manero A, Smith P, Sparkman J, Dombrowski M, Courbin D, Kester A . Implementation of 3D Printing Technology in the Field of Prosthetics: Past, Present, and Future. Int J Environ Res Public Health. 2019; 16(9). PMC: 6540178. DOI: 10.3390/ijerph16091641. View

2.
Yeung A, Tzvetkov N, El-Tawil O, Bungau S, Abdel-Daim M, Atanasov A . Antioxidants: Scientific Literature Landscape Analysis. Oxid Med Cell Longev. 2019; 2019:8278454. PMC: 6341248. DOI: 10.1155/2019/8278454. View

3.
Rehm H . Evolving health care through personal genomics. Nat Rev Genet. 2017; 18(4):259-267. PMC: 6517837. DOI: 10.1038/nrg.2016.162. View

4.
Persell S, Peprah Y, Lipiszko D, Lee J, Li J, Ciolino J . Effect of Home Blood Pressure Monitoring via a Smartphone Hypertension Coaching Application or Tracking Application on Adults With Uncontrolled Hypertension: A Randomized Clinical Trial. JAMA Netw Open. 2020; 3(3):e200255. PMC: 7052730. DOI: 10.1001/jamanetworkopen.2020.0255. View

5.
Paz O, Zhou X, Gillberg J, Tseng H, Gang E, Swerdlow C . Detection of T-wave alternans using an implantable cardioverter-defibrillator. Heart Rhythm. 2006; 3(7):791-7. DOI: 10.1016/j.hrthm.2006.03.022. View