Alaa Alshurafa

Rafiq is an Arabic conversational system for early depression detection that combines per-message symptom monitoring, a three-phase PHQ-9 questionnaire delivered inside the chat, and retrieval-augmented answers grounded in a clinical knowledge base. On 415 held-out instances symptom detection reached 0.98 accuracy, while retrieval quality depended heavily on embedder choice: an Arabic-specific model scored 80% MAP and a general multilingual mixture-of-experts model only 4%.

Rafiq is an Arabic conversational system for early depression detection that combines per-message symptom monitoring, a three-phase PHQ-9 questionnaire delivered inside the chat, and retrieval-augmented answers grounded in a clinical knowledge base. On 415 held-out instances symptom detection reached 0.98 accuracy, while retrieval quality depended heavily on embedder choice: an Arabic-specific model scored 80% MAP and a general multilingual mixture-of-experts model only 4%.