Artificial intelligence–enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges

Alexander Schepart, Arianna Burton, Larry Durkin, Allison Fuller, Ellyn Charap, Rahul Bhambri, Faraz S. Ahmad*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background: Numerous artificial intelligence (AI)-enabled tools for cardiovascular diseases have been published, with a high impact on public health. However, few have been adopted into, or have meaningfully affected, routine clinical care. Objective: To evaluate current awareness, perceptions, and clinical use of AI-enabled digital health tools for patients with cardiovascular disease, and challenges to adoption. Methods: This mixed-methods study included interviews with 12 cardiologists and 8 health information technology (IT) administrators, and a follow-on survey of 90 cardiologists and 30 IT administrators. Results: We identified 5 major challenges: (1) limited knowledge, (2) insufficient usability, (3) cost constraints, (4) poor electronic health record interoperability, and (5) lack of trust. A minority of cardiologists were using AI tools; more were prepared to implement AI tools, but their sophistication level varied greatly. Conclusion: Most respondents believe in the potential of AI-enabled tools to improve care quality and efficiency, but they identified several fundamental barriers to wide-scale adoption.

Original languageEnglish (US)
Pages (from-to)101-110
Number of pages10
JournalCardiovascular Digital Health Journal
Volume4
Issue number3
DOIs
StatePublished - Jun 2023

Keywords

  • Artificial intelligence
  • Cardiology
  • Cardiovascular disease
  • Digital health tool
  • Electronic health records
  • Machine learning
  • Survey

ASJC Scopus subject areas

  • Critical Care and Intensive Care Medicine
  • Cardiology and Cardiovascular Medicine
  • Biomedical Engineering

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