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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Artificial intelligence in cardiology: a bibliometric study.

Yalan Zhang1, Jingwen Xie2, Enlong Fu2

  • 1Department of Pharmacy, The Second Affiliated Hospital of Fujian Medical University Quanzhou, Fujian, China.

American Journal of Translational Research
|April 8, 2024
PubMed
Summary
This summary is machine-generated.

This bibliometric analysis reveals artificial intelligence (AI) applications in cardiology are rapidly growing, with the United States leading research. Future work will likely focus on machine learning and deep learning for disease prediction and treatment.

Keywords:
Cardiologyartificial intelligencedeep learninghotspotsmachine learningtrends

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Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly integrated into medical research and practice.
  • Cardiology is a key area benefiting from AI advancements.
  • Understanding the global research landscape is crucial for future development.

Purpose of the Study:

  • To conduct a comprehensive bibliometric analysis of global publications on AI applications in cardiology.
  • To identify key trends, research hotspots, and leading contributors in the field.
  • To provide insights into the future trajectory of AI in cardiology.

Main Methods:

  • A systematic search for AI in cardiology publications from 2002-2022 was performed using the Web of Science Core Collection.
  • Bibliometric analysis was conducted using the R package 'bibliometrix', VOSviewers, and Microsoft Excel.
  • Quantitative and qualitative data were extracted and analyzed to map the research output.

Main Results:

  • A total of 4332 articles were analyzed, indicating significant research output.
  • The United States emerged as the leading country for publications, followed by China and the United Kingdom.
  • Harvard University, University of California System, and University of London were the most prolific institutions. Key research areas included disease risk prediction, diagnosis, treatment, detection, and prognosis.

Conclusions:

  • International and inter-institutional collaboration is essential for advancing AI applications in cardiology.
  • Machine learning and deep learning are expected to be major research priorities in cardiology in the near future.
  • Continued research and development in AI will likely revolutionize cardiovascular care.