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Related Experiment Video

Updated: May 8, 2026

Application of a New Mesh Fixation Method in Laparoscopic Incisional Hernia Repair
05:15

Application of a New Mesh Fixation Method in Laparoscopic Incisional Hernia Repair

Published on: December 23, 2022

Lessons Learned From AI-Assisted Guideline Generation in Parastomal Hernia Repair.

Maciej Śmietański1,2, Mateusz Zamkowski1,2, Krzysztof Tyszka3

  • 1Śmietański Hernia Center, Lux Med Hospital in Gdańsk, Gdańsk, Poland.

Journal of Abdominal Wall Surgery : JAWS
|May 7, 2026
PubMed
Summary

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Case Report: Bioresorbable implant in anterior abdominal wall reconstruction in women of reproductive age. Case Report with pregnancy and a 10-year follow-up.

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Journal of abdominal wall surgery : JAWS·2025

Large language models can generate clinical guidelines for parastomal hernia management, closely matching expert recommendations. AI shows potential as a drafting assistant, particularly in handling low-certainty evidence for guideline development.

Area of Science:

  • Medical Informatics
  • Clinical Guideline Development
  • Artificial Intelligence in Healthcare

Background:

  • Large language models (LLMs) show potential in analyzing scientific literature and drafting medical recommendations.
  • The precise role of LLMs in formal clinical guideline development remains unclear.
  • This study investigates the capability of LLMs in generating evidence-based clinical guidelines.

Purpose of the Study:

  • To evaluate a GPT-based LLM's ability to generate coherent, GRADE-based guidelines for parastomal hernia management.
  • To compare AI-generated guidelines with the 2017 European Hernia Society (EHS) guidelines.
  • To explore the implications of LLMs for academic publishing and scientific authorship.

Main Methods:

  • The 2017 EHS parastomal hernia guidelines served as the reference.
Keywords:
Artificial intelligenceEHS guidelinesGPT-5consensusparastomal hernia

Related Experiment Videos

Last Updated: May 8, 2026

Application of a New Mesh Fixation Method in Laparoscopic Incisional Hernia Repair
05:15

Application of a New Mesh Fixation Method in Laparoscopic Incisional Hernia Repair

Published on: December 23, 2022

  • A GPT-based LLM applied AGREE II and GRADE principles to 52 clinical papers.
  • The model formulated recommendations for nine key clinical questions, defining PICO, summarizing evidence, rating certainty, and stating recommendation strength.

    • Main Results:

    • AI-generated recommendations largely aligned with EHS guidance across various domains.
    • Key areas of agreement included diagnosis, prophylactic mesh use, and repair techniques.
    • Differences emerged with very low-quality evidence, where AI suggested cautious recommendations, while EHS provided none.

    Conclusions:

    • A GPT-based LLM can accurately replicate the logic and structure of expert guideline development.
    • Discrepancies highlight differing thresholds for acting on low-certainty evidence.
    • AI can serve as a complementary methodological and drafting assistant in guideline development, not a replacement for human consensus.