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Generative Artificial Intelligence in Academic Surgery: Ethical Implications and Transformative Potential.

Jamie R Robinson1, Anne Stey2, David F Schneider3

  • 1Department of Pediatric Surgery, Monroe Carell Jr. Children's Hospital at Vanderbilt Doctors' Office Tower, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.

The Journal of Surgical Research
|February 11, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers significant advantages for academic surgeons, particularly in text generation. Responsible AI integration requires addressing ethical concerns like bias and intellectual property to maintain academic integrity and patient care.

Keywords:
AIArtificial intelligenceChatGPTGenerative AILarge language models

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Surgery

Background:

  • Artificial intelligence (AI) is increasingly utilized in medicine for tasks like image recognition and clinical decision support.
  • Large language models (LLMs) like GPT-4 and Bard are transforming academic surgery through advanced text generation capabilities.

Purpose of the Study:

  • To provide guidelines and recommendations for the ethical integration of AI in academic surgery.
  • To explore the opportunities and ethical challenges presented by AI in academic surgical practices.

Main Methods:

  • Review of current literature on AI in academic surgery.
  • Discussion of LLM mechanisms, potential biases, and responsible usage.
  • Analysis of ethical implications in clinical documentation and intellectual property.

Main Results:

  • AI offers benefits in manuscript/grant writing and administrative tasks.
  • Ethical concerns include bias, transparency, privacy, and intellectual property.
  • Guidelines are proposed for responsible AI adoption in academic and clinical settings.

Conclusions:

  • Responsible AI adoption in academic surgery requires addressing ethical challenges.
  • Transparency, ethical training, and governance are crucial for AI integration.
  • AI can enhance academic integrity and patient care if implemented responsibly.