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Related Experiment Videos

Artificial Intelligence in Everyday Surgical Practice: A Practical Review.

Luke S Jones1, Hudson M Holmes2, Zongyang Mao3

  • 1Vanderbilt University School of Medicine, Nashville, TN, USA.

The American Surgeon
|July 7, 2026
PubMed
Summary

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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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Artificial intelligence (AI) tools are impacting surgery by reducing cognitive and administrative burdens, not replacing surgeon judgment. This review guides AI implementation in surgical practice.

Area of Science:

  • Surgical Innovation
  • Medical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Artificial intelligence (AI) is transitioning from a novel concept to a tool with demonstrable clinical value in surgery.
  • Surgeons face significant challenges including documentation burden, information overload, administrative tasks, and practice management.
  • Effective integration of AI requires addressing compliance, implementation, and measurement strategies.

Purpose of the Study:

  • To review the current literature and provide practical guidance on using AI to address challenges in surgical practice.
  • To organize information around five key problems surgeons encounter: documentation, information overload, administrative tasks, practice intelligence, and implementation.
  • To delineate the role of AI in surgery, emphasizing its function in reducing overhead rather than replacing clinical judgment.
Keywords:
special topicssurgical quality

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Main Methods:

  • Systematic review of existing literature on AI in surgery.
  • Analysis of evidence for AI-based solutions to surgical practice problems.
  • Structured approach examining the problem, evidence, AI tool type, and potential failure points for each challenge.
  • Consideration of compliance, implementation, and measurement across all reviewed studies.

Main Results:

  • AI tools offer practical solutions to reduce the documentation burden and information overload faced by surgeons.
  • AI can enhance practice intelligence and streamline administrative tasks, improving overall surgical workflow.
  • The evidence supports AI's role in augmenting, not replacing, essential surgical skills and judgment.

Conclusions:

  • AI's primary near-term value in surgery lies in mitigating cognitive and administrative overhead, freeing surgeons to focus on clinical judgment.
  • Successful AI implementation requires careful consideration of evidence-based strategies, compliance, and outcome measurement.
  • Training future surgeons in AI-enabled environments is crucial for adapting to the evolving landscape of surgical practice.