TACTILE : Validation of a Teleconsultation-Based Predictive Score for the Diagnosis of Acute Appendicitis in Children Using Artificial Intelligence Methods

Acute appendicitis is the most common abdominal surgical emergency in children and a frequent cause of pediatric emergency department visits. Diagnosis may be challenging due to variable clinical presentations and overlapping symptoms with other causes of abdominal pain. The increasing use of telemedicine further limits access to direct physical examination. This study aims to evaluate and validate a predictive clinical score designed for teleconsultation to estimate the probability of acute appendicitis in children. The score is based on symptom history and simple clinical signs assessed remotely with the assistance of a parenton a 10 item checklist. During an emergency visit for acute abdominal pain, voluntary children aged 3 to 16 years and their parents will be guided by a medical student through the checklist in conditions simulating a teleconsultation. The score will be recorded for research purposes only and will not influence clinical management. All participants will subsequently undergo standard medical evaluation and management by an emergency physician, who will independently assess the probability of acute appendicitis based on routine clinical practice. The diagnostic performance of the simulated teleconsultation will then be evaluated using advanced statistical and artificial intelligence-based methods and compared with standard in-person pediatric emergency consultation.