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In Silico Clinical Trials for Cardiovascular Disease
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Artificial intelligence in cardiology.

Diana Bonderman1

  • 1Department of Cardiology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. diana.bonderman@meduniwien.ac.at.

Wiener Klinische Wochenschrift
|October 6, 2017
PubMed
Summary

Artificial intelligence (AI) can assist in complex medical decisions by analyzing data to identify patterns. This review explores AI applications in cardiology, ethical considerations, and future roles alongside clinicians.

Keywords:
Artificial intelligenceCardiologyDecision-making

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Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Clinical decision-making is complex, requiring data interpretation for individual patients.
  • Automated algorithms, or artificial intelligence (AI), can analyze data to identify patterns.
  • AI may serve as valuable assistants in clinical decision-making processes.

Purpose of the Study:

  • To review artificial intelligence-based studies in clinical cardiology.
  • To discuss ethical issues related to AI in medicine.
  • To speculate on the future integration of AI and clinicians in cardiology.

Main Methods:

  • Literature review of AI applications in clinical cardiology.
  • Analysis of ethical implications of AI in medical decision-making.
  • Discussion of future trends and roles for AI in cardiology.

Main Results:

  • AI demonstrates potential in extracting meaningful patterns from data for clinical use.
  • Ethical considerations surrounding AI in cardiology require careful examination.
  • The future likely involves a collaborative role between AI and human clinicians.

Conclusions:

  • AI holds significant promise as a tool to support clinical decision-making in cardiology.
  • Addressing ethical concerns is crucial for the responsible implementation of AI in patient care.
  • The synergy between AI and clinicians is expected to shape the future of cardiology and medicine.