The Pediatric Surgeon's AI Toolbox: How Large Language Models Like ChatGPT Are Simplifying Practice and Expanding Global Access
Topic overview
This narrative review examines how large language models like ChatGPT can reduce administrative burden for pediatric surgeons through streamlined documentation, improved patient communication, and educational support. While LLMs show promise in high-volume tasks when clinician-reviewed, implementation requires careful attention to accuracy verification, privacy safeguards, and equity considerations across diverse healthcare settings.
Key takeaways
- LLMs reduce drafting time for discharge summaries and operative notes while maintaining clinician-rated quality when supervised.
- Common failure modes include hallucinated citations, poor coding performance, and weak temporal reasoning in complex cases.
- Privacy-preserving deployment with clinician review ('review and release') mitigates risks from data logging and memorization.
- LLMs improve readability of consent forms and patient instructions, supporting family communication and education.
- Early adoption should target high-volume, low-risk tasks; prospective safety studies and pediatric benchmarks remain priorities.
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How to cite: GlobalCastMD. The Pediatric Surgeon's AI Toolbox: How Large Language Models Like ChatGPT Are Simplifying Practice and Expanding Global Access. GlobalCastMD Medical Library. 2025-11-03. https://library.globalcastmd.com/article/11197
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