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Achieving Equity in Generative Artificial Intelligence in Cardiovascular Medicine.

Aparna Kulkarni1, Shyam Visweswaran2

  • 1Northwell Health, Cohen Children's Medical Center, Cohen Children's Heart Center, New Hyde Park, New York, USA.

JACC. Advances
|July 4, 2026
PubMed
Summary

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Generative artificial intelligence (AI) can advance cardiovascular care equity but risks perpetuating inequities. A proposed framework promotes equitable AI through transparency, accountability, and community engagement.

Area of Science:

  • Cardiovascular medicine
  • Artificial intelligence
  • Health equity

Background:

  • Generative artificial intelligence (AI) offers transformative potential in cardiovascular care.
  • However, generative AI models risk exacerbating existing health inequities.
  • Bias in representation, measurement, deployment, and contextual factors are key concerns.

Purpose of the Study:

  • To review the risks of generative AI in perpetuating cardiovascular care inequities.
  • To propose a framework for developing and implementing equitable generative AI.
  • To explore the potential benefits of equitable generative AI in cardiovascular medicine.

Main Methods:

  • Literature review of generative AI applications and biases in healthcare.
  • Development of a framework for equitable generative AI based on design principles and operational strategies.
Keywords:
artificial intelligencegenerative AIhealth equity

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Last Updated: Jul 9, 2026

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  • Exploration of potential applications and benefits of generative AI in cardiovascular care.

    • Main Results:

    • Generative AI models can perpetuate inequities through various biases (representation, measurement, deployment, contextual).
    • A proposed framework emphasizes representation, contextualization, transparency, accountability, and community engagement for equitable AI.
    • Strategies include digital equity and continuous recalibration of AI models.
    • Potential benefits include improved access to care, enhanced patient-centeredness, better health literacy, and increased clinical trial participation.

    Conclusions:

    • Generative AI presents both risks and opportunities for advancing health equity in cardiovascular care.
    • An equitable generative AI framework is crucial to mitigate bias and maximize benefits.
    • Robust governance and oversight are recommended across the AI lifecycle.