This study explores the application of artificial intelligence (AI) in emergency care units (ECUs) between 1999 and 2024 through a bibliometric analysis using the Scopus database. The findings highlight a steady rise in AI-related publications, marked by an 18.56% annual growth rate from 2012 to 2023, despite a decline in citations from 2018 to 2024. The United States and China emerged as leading contributors. Thematic insights reveal that “accident and emergency medicine” is part of niche but underdeveloped themes, while “ultrasound” and “point-of-care ultrasound” are gaining prominence. The absence of well-established core themes in the motor theme quadrant suggests room for development, although AI, deep learning, and emergency medicine are beginning to gain traction. A proposed research agenda includes the use of AI for real-time monitoring, patient flow optimization, resource forecasting, predictive analytics, and enhancing documentation and communication in ECUs.