Here, we explore the transformative effects of artificial intelligence (AI) and large language models (LLMs), such as ChatGPT and GEMINI, on pediatric surgery, including preoperative, intraoperative, and postoperative care, as well as their influence...
OBJECTIVE: To develop a machine learning diagnostic model based on MMP7 and other serological testing indicators for early and efficient diagnosis of biliary atresia (BA).
PURPOSE: Accurate histological diagnosis in Hirschsprung disease (HD) is challenging, due to its complexity and potential for errors. In this study, we present an artificial intelligence (AI)-based method designed to identify ganglionic cells and hyp...
PURPOSE: The efficacy of robot-assisted hepaticojejunostomy (RAHJ) and laparoscopic-assisted hepaticojejunostomy (LAHJ) in children with congenital choledochal dilatation has been a topic of much debate and controversy. The purpose of this study was ...
To perform a systematic review and meta-analysis comparing the outcomes of robotic-assisted laparoscopic extravesical ureteric reimplantation (RALUR) with conventional laparoscopic extravesical ureteric reimplantation (LEVUR) for primary vesicoureter...
INTRODUCTION: There is a tendency toward nonoperative management of appendicitis resulting in an increasing need for preoperative diagnosis and classification. For medical purposes, simple conceptual decision-making models that can learn are widely u...
Branchial cleft anomalies are the second most common head and neck congenital lesions in children. It may sometimes be a part of branchio-oto-renal (BOR) syndrome, so in patients with branchial cleft anomalies associated with a complaint of auricular...
BACKGROUND: A few studies have compared robotic-assisted laparoscopic pyeloplasty (RALP) with open pyeloplasty (OP) in children, but no previous study includes a long-term follow-up of renal function and hydronephrosis in combination with a thorough ...
The role of robot-assisted surgery in children remains controversial. This article aims to distil this debate into an evidence informed decision-making taxonomy; to adopt this technology (1) now, (2) later, or (3) not at all. Robot-assistance is safe...