Robin Rey, Renato Gualtieri, Giorgio La Scala, Klara Posfay Barbe
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引用次数: 0
Abstract
Introduction: Artificial intelligence (AI) is a growing field in medical research that could potentially help in the challenging diagnosis of acute appendicitis (AA) in children. However, usefulness of AI in clinical settings remains unclear. Our aim was to assess the accuracy of AIs in the diagnosis of AA in the pediatric population through a systematic literature review.
Methods: PubMed, Embase, and Web of Science were searched using the following keywords: "pediatric," "artificial intelligence," "standard practices," and "appendicitis," up to September 2023. The risk of bias was assessed using PROBAST.
Results: A total of 302 articles were identified and nine articles were included in the final review. Two studies had prospective validation, seven were retrospective, and no randomized control trials were found. All studies developed their own algorithms and had an accuracy greater than 90% or area under the curve >0.9. All studies were rated as a "high risk" concerning their overall risk of bias.
Conclusion: We analyzed the current status of AI in the diagnosis of appendicitis in children. The application of AI shows promising potential, but the need for more rigor in study design, reporting, and transparency is urgent to facilitate its clinical implementation.
期刊介绍:
This broad-based international journal updates you on vital developments in pediatric surgery through original articles, abstracts of the literature, and meeting announcements.
You will find state-of-the-art information on:
abdominal and thoracic surgery
neurosurgery
urology
gynecology
oncology
orthopaedics
traumatology
anesthesiology
child pathology
embryology
morphology
Written by surgeons, physicians, anesthesiologists, radiologists, and others involved in the surgical care of neonates, infants, and children, the EJPS is an indispensable resource for all specialists.