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Maintaining Health Equity in Precision Surgery.

Angelica Martin1, Sidra N Bonner2, David T Cooke1

  • 1Division of General Thoracic Surgery, University of California, Davis Health, Sacramento, CA, USA.

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Summary

Precision surgery and AI advancements must address health equity to prevent bias in care. Strategies like race-neutral testing and refined risk models are crucial for fair thoracic surgery outcomes.

Keywords:
Artificial intelligenceClinical algorithmsHealth equityPrecision surgerySurgical risk modelsThoracic surgery

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Area of Science:

  • Surgical innovation
  • Health equity
  • Medical ethics

Background:

  • Precision medicine and artificial intelligence (AI) are transforming surgical care.
  • Existing healthcare disparities risk being amplified by new technologies.
  • Ensuring fairness in surgical decision-making is paramount.

Purpose of the Study:

  • To examine the impact of AI and precision medicine on health equity in surgery.
  • To identify how biases in algorithms and technology access create disparities.
  • To propose actionable strategies for mitigating inequities in thoracic surgery.

Main Methods:

  • Analysis of biases in clinical algorithms and race-based corrections.
  • Evaluation of unequal access to advanced technologies like next-generation sequencing.
  • Review of current practices in pulmonary function testing and risk modeling.

Main Results:

  • Biased algorithms and unequal technology access perpetuate disparities in thoracic surgery.
  • Race-based corrections in clinical practice can exacerbate inequities.
  • Current risk models may not adequately account for diverse patient populations.

Conclusions:

  • Mitigating inequities requires adopting race-neutral pulmonary function testing.
  • Refining risk models to be equitable is essential for fair surgical decision-making.
  • Implementing policies promoting fairness is critical for equitable patient care in precision surgery.