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http://hdl.handle.net/20.500.12188/35003| Наслов: | 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: | апр-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 |
Files in This Item:
| File | Опис | Size | Format | |
|---|---|---|---|---|
| Journal of Pediatric Surgery_20260226 (1).zip | 371.81 kB | Unknown | View/Open | |
| Table-of-Contents_yjpsu.pdf | 43.61 kB | Adobe PDF | View/Open |
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