Are Generative Pretrained Transformer 4 Responses to Developmental Dysplasia of the Hip Clinical Scenarios Universal? An International Review.

OBJECTIVE: There is increasing interest in applying artificial intelligence chatbots like generative pretrained transformer 4 (GPT-4) in the medical field. This study aimed to explore the universality of GPT-4 responses to simulated clinical scenarios of developmental dysplasia of the hip (DDH) across diverse global settings. METHODS: Seventeen international experts with more than 15 years of experience in pediatric orthopaedics were selected for the evaluation panel. Eight simulated DDH clinical scenarios were created, covering 4 key areas: (1) initial evaluation and diagnosis, (2) initial examination and treatment, (3) nursing care and follow-up, and (4) prognosis and rehabilitation planning. Each scenario was completed independently in a new GPT-4 session. Interrater reliability was assessed using Fleiss kappa, and the quality, relevance, and applicability of GPT-4 responses were analyzed using median scores and interquartile ranges. Following scoring, experts met in ZOOM sessions to generate Regional Consensus Assessment Scores, which were intended to represent a consistent regional assessment of the use of the GPT-4 in pediatric orthopaedic care. RESULTS: GPT-4's responses to the 8 clinical DDH scenarios received performance scores ranging from 44.3% to 98.9% of the 88-point maximum. The Fleiss kappa statistic of 0.113 ( P = 0.001) indicated low agreement among experts in their ratings. When assessing the responses' quality, relevance, and applicability, the median scores were 3, with interquartile ranges of 3 to 4, 3 to 4, and 2 to 3, respectively. Significant differences were noted in the prognosis and rehabilitation domain scores ( P < 0.05 for all). Regional consensus scores were 75 for Africa, 74 for Asia, 73 for India, 80 for Europe, and 65 for North America, with the Kruskal-Wallis test highlighting significant disparities between these regions ( P = 0.034). CONCLUSIONS: This study demonstrates the promise of GPT-4 in pediatric orthopaedic care, particularly in supporting preliminary DDH assessments and guiding treatment strategies for specialist care. However, effective integration of GPT-4 into clinical practice will require adaptation to specific regional health care contexts, highlighting the importance of a nuanced approach to health technology adaptation. LEVEL OF EVIDENCE: Level IV.

Paediatric urologic pathologies at the national teaching hospital in Cotonou: an etiological and therapeutic aspects

BACKGROUND: Urological pathologies of children are dominated by congenital malformations of the kidneys and urinary tract. Their management is often surgical. The objective of this survey was to study etiological and therapeutic aspects of urological presentations in children. PATIENTS AND METHODS: Data for aetiology, treatment, and results in children hospitalized at the Paediatric Surgery service of National Teaching Hospital (CNHU) in Cotonou were retrospectively analyzed from January 1999 to December 2008. RESULTS: A total of 214 patients with complete data were evaluated. Urological pathologies represented 4.8% of the hospitalizations in paediatric surgery, with an incidence of 21 cases per year. The mean age was 4.9 ± 3.2 years (age 1 week to 14 years). The male to female ratio was 14:14. Cryptorchidism, hydrocele, nephroblastoma, the posterior urethral valves, ureteropelvic junction obstructions, post-circumcision haemorrhage and hypospadias were the most frequent pathologies. Congenital urological malformations represented 81.3%, followed neoplastic pathologies (7.9%), traumatic pathologies (6.1%) and others (4.7%). The disorders of male genitalia were more frequent and constituted 68.2% of the cases. The anomalies of the urinary tract were 30.8% and intersex disorders were 0.9%. The average age of the children urological pathologies at the time of consultation was 8.85 ± 4.6 years. The treatment was often surgical with a mortality of 2.8%