Shahid Beheshti University Journal of Innovations in Computer Science and Engineering (JICSE) 2981-2135 3 1 2025 06 01 Persian Intelligent Assistant in Healthcare Domain 59 64 106297 10.48308/jicse.2025.241738.1087 EN Sarina Chitsaz Faculty of Computer Science and Engineering Shahid Beheshti University Tehran, Iran Mehrnoush Shamsfard Faculty of Computer Science and Engineering Shahid Beheshti University Tehran, Iran Journal Article 2025 09 29 Abstract—Nowadays, advances in technology and medical science have led to significant changes in the field of healthcare. Consequently, an effort has been taken to develop an intelligent health assistant in the Persian language, focusing on the emergency department. To achieve this goal, a labeled dataset was prepared. Subsequently, an intelligent assistant architecture was developed, utilizing slot filling and speech act classification for natural language understanding. A dialogue manager was designed to address negation in patient statements, resulting in the classification of triage patients. Evaluation revealed that the assistant's performance matched that of emergency staff in 83% of cases.<br /><br />Abstract—Nowadays, advances in technology and medical science have led to significant changes in the field of healthcare. Consequently, an effort has been taken to develop an intelligent health assistant in the Persian language, focusing on the emergency department. To achieve this goal, a labeled dataset was prepared. Subsequently, an intelligent assistant architecture was developed, utilizing slot filling and speech act classification for natural language understanding. A dialogue manager was designed to address negation in patient statements, resulting in the classification of triage patients. Evaluation revealed that the assistant's performance matched that of emergency staff in 83% of cases. https://jicse.sbu.ac.ir/article_106297_04b752ec5fc4c7161f0f8de87dbb0800.pdf