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Artificial intelligence in surgery.

Chris Varghese1, Ewen M Harrison2, Greg O'Grady1,3

  • 1Department of Surgery, University of Auckland, Auckland, New Zealand.

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|May 13, 2024
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Summary
This summary is machine-generated.

Artificial intelligence (AI) is emerging in healthcare, with nascent applications in surgery. This review explores AI's integration to improve surgical care across all phases, enhancing patient outcomes and surgical education.

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Area of Science:

  • * Medical Technology and Artificial Intelligence
  • * Surgical Innovation and Digital Health

Background:

  • * Artificial intelligence (AI) is increasingly prevalent in healthcare, but its surgical applications are still developing.
  • * Advancements in foundation models, wearables, and data infrastructure are accelerating AI's role in surgery.

Purpose of the Study:

  • * To review the current integration and impact of AI in surgical care.
  • * To explore AI's potential to enhance preoperative, intraoperative, and postoperative surgical phases.
  • * To outline future directions for AI in surgery, including multimodal foundation models.

Main Methods:

  • * Comprehensive literature review of AI applications in surgery.
  • * Analysis of current deep learning approaches in surgical contexts.
  • * Discussion of emerging technologies like foundation models and wearables.

Main Results:

  • * AI demonstrates potential for multifaceted improvements in surgical care.
  • * AI can enhance patient outcomes, surgical education, and overall care optimization.
  • * Foundation models and multimodal AI represent key future advancements.

Conclusions:

  • * AI integration in surgery is rapidly advancing, offering significant potential.
  • * Future AI developments, particularly multimodal foundation models, promise further optimization of surgical practice and patient care.