The current research landscape of the application of artificial intelligence in managing cerebrovascular and heart diseases: A bibliometric and content analysis

Bach Xuan Tran, Carl A Latkin, Giang Thu Vu, Huong Lan Thi Nguyen, Son Nghiem, Ming Xuan Tan, Zhi Kai Lim, Cyrus S.H. Ho, Roger C.M. Ho

Research output: Contribution to journalArticle

Abstract

The applications of artificial intelligence (AI) in aiding clinical decision-making and management of stroke and heart diseases have become increasingly common in recent years, thanks in part to technological advancements and the heightened interest of the research and medical community. This study aims to provide a comprehensive picture of global trends and developments of AI applications relating to stroke and heart diseases, identifying research gaps and suggesting future directions for research and policy-making. A novel analysis approach that combined bibliometrics analysis with a more complex analysis of abstract content using exploratory factor analysis and Latent Dirichlet allocation, which uncovered emerging research domains and topics, was adopted. Data were extracted from the Web of Science database. Results showed topics with the most compelling growth to be AI for big data analysis, robotic prosthesis, robotics-assisted stroke rehabilitation, and minimally invasive surgery. The study also found an emerging landscape of research that was centered on population-specific and early detection of stroke and heart disease. Application of AI in health behavior tracking and improvement as well as the use of robotics in medical diagnostics and prognostication have also been found to attract significant research attention. In light of these findings, it is suggested that the currently under-researched issues of data management, AI model reliability, as well as validation of its clinical utility, need to be further explored in future research and policy decisions to maximize the benefits of AI applications in stroke and heart diseases.

Original languageEnglish (US)
Article number2699
JournalInternational journal of environmental research and public health
Volume16
Issue number15
DOIs
StatePublished - Aug 1 2019

Fingerprint

Bibliometrics
Cerebrovascular Disorders
Artificial Intelligence
Heart Diseases
Robotics
Stroke
Research
Minimally Invasive Surgical Procedures
Policy Making
Health Behavior
Statistical Factor Analysis
Prostheses and Implants
Biomedical Research
Early Diagnosis
Databases
Growth
Population

Keywords

  • Artificial intelligence
  • Bibliometrics
  • Cerebrovascular
  • Heart diseases
  • Scientometrics

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

The current research landscape of the application of artificial intelligence in managing cerebrovascular and heart diseases : A bibliometric and content analysis. / Tran, Bach Xuan; Latkin, Carl A; Vu, Giang Thu; Nguyen, Huong Lan Thi; Nghiem, Son; Tan, Ming Xuan; Lim, Zhi Kai; Ho, Cyrus S.H.; Ho, Roger C.M.

In: International journal of environmental research and public health, Vol. 16, No. 15, 2699, 01.08.2019.

Research output: Contribution to journalArticle

Tran, Bach Xuan ; Latkin, Carl A ; Vu, Giang Thu ; Nguyen, Huong Lan Thi ; Nghiem, Son ; Tan, Ming Xuan ; Lim, Zhi Kai ; Ho, Cyrus S.H. ; Ho, Roger C.M. / The current research landscape of the application of artificial intelligence in managing cerebrovascular and heart diseases : A bibliometric and content analysis. In: International journal of environmental research and public health. 2019 ; Vol. 16, No. 15.
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