Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/35003
Title: Generative Artificial Intelligence Accuracy in Interpreting Forest Plots in Pediatric Surgery Meta-analyses: A Perspective From Pediatric Surgery Meta-analysis Study Group (PESMA)
Authors: Mustafa Azizoglu
Maria Escolino
Tahsin Onat Kamci
Sergey Klyuev
Sonia Perez Bertolez
Toni Risteski 
Ismael Elhalaby
Nitinkumar Borkar
Ciro Esposito
Mehmet Hanifi Okur
Martin Lacher
Annika Mutanen
Sameh Shehata
Fabio Chiarenza
Mark Davenport
Issue Date: Apr-2025
Publisher: Elsevier BV
Journal: Journal of Pediatric Surgery
Abstract: 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. Despite this progress, there remains a considerable need for further research in this area.
URI: http://hdl.handle.net/20.500.12188/35003
DOI: 10.1016/j.jpedsurg.2025.162359
Appears in Collections:Faculty of Medicine: Journal Articles

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