Generative Artificial Intelligence Accuracy in Interpreting Forest Plots in Pediatric Surgery Meta-analyses: A Perspective From Pediatric Surgery Meta-analysis Study Group (PESMA)

jpedsurg.org

Pediatric surgery is a relatively newer specialty compared to fields such as orthopedics, internal medicine, and pediatrics. The number of pediatric surgeons worldwide is significantly lower than in many other medical disciplines. Consequently, this has resulted in a lower cumulative volume of academic research in pediatric surgery, including a smaller number of meta-analyses. However, in recent years, there has been a noticeable increase in the number of meta-analyses within this field and dedicated pediatric surgery meta-analysis study groups such as PESMA have emerged.

jpedsurg.org shows its articles on its own site.

Read the article on jpedsurg.org ↗

Article · Apr 2025 · 1 min read

In brief

This article examines the accuracy of generative AI tools in interpreting forest plots from pediatric surgery meta-analyses, a perspective from the Pediatric Surgery Meta-analysis Study Group (PESMA). As meta-analyses in pediatric surgery increase, understanding AI's capability to analyze statistical visualizations becomes crucial for evidence-based practice in this growing specialty.

Pediatric surgery has fewer practitioners and less cumulative research compared to established specialties like orthopedics or internal medicine.
Meta-analyses in pediatric surgery are increasing, with dedicated groups like PESMA emerging to advance evidence synthesis.
The relatively smaller research volume in pediatric surgery creates unique challenges for evidence-based practice and guideline development.

Written by the GCMD Library team from the article.

Read it at the source ↗