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Artificial intelligence and pediatric surgery: where are we?

Yuichiro Miyake1,2, Giuseppe Retrosi1,3, Richard Keijzer4

  • 1Thorlakson Chair in Surgical Research, Division of Pediatric Surgery, Department of Surgery, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba and Children's Hospital Research Institute of Manitoba, AE402-820 Sherbrook Street, Winnipeg, MB, R3A 1S1, Canada.

Pediatric Surgery International
|December 3, 2024
PubMed
Summary

Artificial intelligence (AI) and large language models (LLMs) are revolutionizing pediatric surgery by improving precision and patient care. Careful integration of AI offers significant potential for enhanced surgical outcomes and medical education.

Keywords:
Artificial intelligence, Pediatric SurgeryChatGPTGEMINILarge language modelsMachine learningNavigation operation

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Area of Science:

  • Medical Technology
  • Artificial Intelligence in Medicine
  • Pediatric Surgery Innovations

Background:

  • Pediatric surgery is increasingly leveraging advanced technologies for improved patient outcomes.
  • Artificial intelligence (AI) and large language models (LLMs) present novel opportunities to enhance various aspects of surgical care.
  • The integration of AI in healthcare necessitates a thorough understanding of its benefits and challenges.

Purpose of the Study:

  • To explore the transformative effects of AI and LLMs on pediatric surgery.
  • To examine AI's role in preoperative, intraoperative, and postoperative care.
  • To assess the impact of AI and LLMs on medical education and patient communication.

Main Methods:

  • Review of current AI and LLM applications in pediatric surgery.
  • Analysis of AI's potential in enhancing surgical precision and personalized care.
  • Discussion of LLM capabilities in medical education and patient communication.

Main Results:

  • AI enhances surgical precision and offers real-time decision support during procedures.
  • LLMs can simplify complex medical information for educational purposes and patient understanding.
  • AI applications show promise in improving learning for healthcare professionals and students.

Conclusions:

  • AI and LLMs have the potential to significantly improve pediatric surgery, healthcare education, and patient care.
  • Ethical considerations, data privacy, and the need for human oversight are critical challenges.
  • A cautious yet optimistic approach to AI adoption in pediatric surgery is recommended.