Artificial intelligence and pediatric surgery: where are we?

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.