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Artificial Intelligence in Surgical Research: Transformative Impacts and Evolving Ethical Challenges.

Miranda X Morris1, Faris Rustom2, Benjamin Chun3

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This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing surgical research with new tools for planning and real-time support. Responsible implementation requires addressing ethical concerns like bias and privacy for trustworthy advancements.

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Area of Science:

  • Surgical Research
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Artificial intelligence (AI) is increasingly integrated into surgical research, enhancing areas like preoperative planning and intraoperative guidance.
  • Advances in computing power and data analytics enable AI applications beyond retrospective analysis to real-time clinical decision support.
  • Large language models (LLMs) are also being utilized for literature synthesis, data analysis, and manuscript preparation in surgical research.

Purpose of the Study:

  • To review recent advancements in AI applications within surgical research.
  • To examine the critical ethical challenges posed by the rapid integration of AI in surgery.
  • To propose frameworks for the responsible implementation of AI in surgical research.

Main Methods:

  • Literature review of recent technological advancements in AI for surgical research.
  • Analysis of current AI use cases, including 3D planning, scheduling, and ambient scribes.
  • Examination of ethical concerns such as algorithmic bias, data privacy, and accountability.

Main Results:

  • AI is driving innovation in surgical planning, intraoperative guidance, workflow optimization, and academic productivity.
  • Current applications include AI-assisted 3D planning, automated scheduling, and ambient scribe technology.
  • LLMs are increasingly applied to literature synthesis, data analysis, and manuscript development.

Conclusions:

  • The rapid integration of AI in surgical research presents significant ethical challenges, including bias, privacy, opacity, and accountability.
  • Structured frameworks emphasizing transparency, equity, and patient safety are crucial for responsible AI implementation.
  • Ensuring ethical considerations are addressed will facilitate trustworthy AI-driven improvements in surgical care.