Multidisciplinary AI-assisted Diagnosis and Management of Acute Abdominal Pain Syndrome: A Pilot Study

Acute abdominal pain syndrome represents one of the most common and diagnostically challenging presentations in emergency medicine, accounting for approximately 5-10% of all emergency department visits (1).The differential diagnosis spans diverse surgical emergencies including acute appendicitis, acute cholecystitis, intestinal obstruction, and volvulus, each requiring distinct management strategies ranging from conservative therapy to emergent surgical intervention (2).Diagnostic accuracy is paramount, as delayed recognition of surgical emergencies significantly increases morbidity and mortality.Recent advances in multimodal artificial intelligence (AI) systems have demonstrated promise in clinical decision support; however, their application across the heterogeneous spectrum of acute abdominal emergencies remains limited (3).We present a pilot evaluation comparing a multidisciplinary AI system with a single-model AI for diagnosing and managing acute abdominal pain syndrome.