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Background <p>Artificial intelligence (AI) is a rapidly growing technological advancement that can be used to transform surgical practice. Applications range from robotic assistance and computer vision, to perioperative guidance and administrative tasks. Despite the promising potential of AI in surgery, limitations to its adoption remains an issue.</p> Objective <p>The aim of this article is to produce a framework for the incentivization of widespread adoption of artificial intelligence in surgery; taking into consideration the current landscape of AI in surgery, barriers to its adoption and challenges.</p> Methods <p>A literature search was carried out of peer-reviewed articles, policy documents, and funding program reports that are relevant to the use of AI in healthcare.</p> Conclusion <p>Strategic financial and non-financial incentives frameworks, coupled with a continuous demonstration of clinical and economic value, are required for AI to transition from a promising innovation to a routine component of surgical practice.</p>

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Incentivizing artificial intelligence in surgery

  • 期刊论文

  • 发表日期：

    2026年5月15日

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  • Abdulrahman Alomar,
  • Vikrom Dhar,
  • Amin Madani,
  • Simon Laplante

摘要

Background

Artificial intelligence (AI) is a rapidly growing technological advancement that can be used to transform surgical practice. Applications range from robotic assistance and computer vision, to perioperative guidance and administrative tasks. Despite the promising potential of AI in surgery, limitations to its adoption remains an issue.

Objective

The aim of this article is to produce a framework for the incentivization of widespread adoption of artificial intelligence in surgery; taking into consideration the current landscape of AI in surgery, barriers to its adoption and challenges.

Methods

A literature search was carried out of peer-reviewed articles, policy documents, and funding program reports that are relevant to the use of AI in healthcare.

Conclusion

Strategic financial and non-financial incentives frameworks, coupled with a continuous demonstration of clinical and economic value, are required for AI to transition from a promising innovation to a routine component of surgical practice.