Ovid Technologies (Wolters Kluwer Health)
Annals of Medicine and Surgery
,  volume 87 ,  issue 4 ,  pages 1947-1968

Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas

Hadi Alotaibi 1
, 
Abdulhadi Alotaibi 2
, 
Rafael Contreas 3
, 
Rafael Contreras 4
, 
NISARG THAKKER 3, 4
, 
Abinash Mahapatro 5
, 
Saisree Reddy Adla Jala 6
, 
Elan Mohanty 7, 8
, 
Pavan Devulapally 9
, 
Mohit Mirchandani 10
, 
Mohammed Dheyaa Marsool Marsool 11, 12
, 
Shika M Jain 13
, 
Farahnaz Joukar 14, 15
, 
Azin Alizadeh Asl 16
, 
Azin Alizadehasl 17
, 
Seyedeh Fatemeh Hosseini Jebelli 16, 17
, 
Ehsan Amini-Salehi 14, 15
, 
Daniyal Ameen 3, 4
1
 
Department of Medicine, Vision Colleges, Riyadh, Saudi Arabia | 
2
 
Department of Medicine and Surgery, Vision Colleges, Riyadh, Saudi Arabia | 
3
 
4
 
5
 
Hi-Tech Medical College and Hospital, Rourkela, Odisha, India | 
6
 
Mission Hospital, Asheville, North Carolina | 
7
 
Providence St, Mary Medical Center Apple Valley, California | 
8
 
Mary Medical Center Apple Valley, California | 
9
 
10
 
Montefiore Medical Center, Wakefield Campus, New York State
11
 
12
 
13
 
MVJ Medical College and Research Hospital, Bengaluru, India | 
14
 
15
 
16
 
17
 
Publication type: Journal Article
Publication date: 2025-02-28
Ovid Technologies (Wolters Kluwer Health)
wos Q2
SJR: —
CiteScore: —
Impact factor: 1.6
ISSN: 20490801
Abstract
Background:

The application of artificial intelligence (AI) in cardiac imaging has rapidly evolved, offering enhanced accuracy and efficiency in the diagnosis and management of cardiovascular diseases. This bibliometric study aimed to evaluate research trends, impact, and scholarly output in this expanding field.

Methods:

A systematic search was conducted on 14 August 2024, using the Web of Science Core Collection database. VOSviewer, CiteSpace, and Biblioshiny were utilized for data analysis.

Results:

The findings revealed a significant increase in publications on AI in cardiovascular imaging, particularly from 2018 to 2023, with the United States leading in research output. England and the United States have emerged as central hubs in the global research network, highlighting their role in generating high-quality and impactful publications. The University of London was identified as the top contributing institution, while Frontiers in Cardiovascular Medicine was the most prolific journal. Keyword analysis highlighted machine learning, echocardiography, and diagnosis as the most frequently occurring terms. A time trend analysis showed a shift in research focus towards AI applications in cardiac computed tomography (CT) and magnetic resonance imaging (MRI), with recent keywords like ejection fraction, risk, and heart failure reflecting emerging areas of interest.

Conclusion:

Healthcare providers should consider integrating AI tools into cardiovascular imaging practice, as AI has demonstrated the potential to enhance diagnostic accuracy and improve patient outcomes. This study highlights the rising importance of AI in personalized and predictive cardiovascular care, urging healthcare providers to stay informed about these advancements to enhance clinical decision-making and patient management.

Found 
Found 

Top-30

Journals

1
Medicine (United States)
Medicine (United States), 1, 50%
Medicine (United States)
1 publication, 50%
JACC: Cardiovascular Imaging
JACC: Cardiovascular Imaging, 1, 50%
JACC: Cardiovascular Imaging
1 publication, 50%
1

Publishers

1
Ovid Technologies (Wolters Kluwer Health)
Ovid Technologies (Wolters Kluwer Health), 1, 50%
Ovid Technologies (Wolters Kluwer Health)
1 publication, 50%
Elsevier
Elsevier, 1, 50%
Elsevier
1 publication, 50%
1
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GOST Copy
Alotaibi H. et al. Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas // Annals of Medicine and Surgery. 2025. Vol. 87. No. 4. pp. 1947-1968.
GOST all authors (up to 50) Copy
Alotaibi H., Alotaibi A., Contreas R., Contreras R., THAKKER N., Mahapatro A., Adla Jala S. R., Mohanty E., Devulapally P., Mirchandani M., Marsool Marsool M. D., Jain S. M., Joukar F., Alizadeh Asl A., Alizadehasl A., Hosseini Jebelli S. F., Amini-Salehi E., Ameen D. Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas // Annals of Medicine and Surgery. 2025. Vol. 87. No. 4. pp. 1947-1968.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1097/ms9.0000000000003080
UR - https://journals.lww.com/10.1097/MS9.0000000000003080
TI - Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas
T2 - Annals of Medicine and Surgery
AU - Alotaibi, Hadi
AU - Alotaibi, Abdulhadi
AU - Contreas, Rafael
AU - Contreras, Rafael
AU - THAKKER, NISARG
AU - Mahapatro, Abinash
AU - Adla Jala, Saisree Reddy
AU - Mohanty, Elan
AU - Devulapally, Pavan
AU - Mirchandani, Mohit
AU - Marsool Marsool, Mohammed Dheyaa
AU - Jain, Shika M
AU - Joukar, Farahnaz
AU - Alizadeh Asl, Azin
AU - Alizadehasl, Azin
AU - Hosseini Jebelli, Seyedeh Fatemeh
AU - Amini-Salehi, Ehsan
AU - Ameen, Daniyal
PY - 2025
DA - 2025/02/28
PB - Ovid Technologies (Wolters Kluwer Health)
SP - 1947-1968
IS - 4
VL - 87
SN - 2049-0801
ER -
BibTex |
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BibTex (up to 50 authors) Copy
@article{2025_Alotaibi,
author = {Hadi Alotaibi and Abdulhadi Alotaibi and Rafael Contreas and Rafael Contreras and NISARG THAKKER and Abinash Mahapatro and Saisree Reddy Adla Jala and Elan Mohanty and Pavan Devulapally and Mohit Mirchandani and Mohammed Dheyaa Marsool Marsool and Shika M Jain and Farahnaz Joukar and Azin Alizadeh Asl and Azin Alizadehasl and Seyedeh Fatemeh Hosseini Jebelli and Ehsan Amini-Salehi and Daniyal Ameen},
title = {Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas},
journal = {Annals of Medicine and Surgery},
year = {2025},
volume = {87},
publisher = {Ovid Technologies (Wolters Kluwer Health)},
month = {feb},
url = {https://journals.lww.com/10.1097/MS9.0000000000003080},
number = {4},
pages = {1947--1968},
doi = {10.1097/ms9.0000000000003080}
}
MLA
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MLA Copy
Alotaibi, Hadi, et al. “Bibliometric analysis of artificial intelligence applications in cardiovascular imaging: trends, impact, and emerging research areas.” Annals of Medicine and Surgery, vol. 87, no. 4, Feb. 2025, pp. 1947-1968. https://journals.lww.com/10.1097/MS9.0000000000003080.