生殖健康已成為青少年及年輕成人（AYA）癌症存活者中一個關鍵但常被忽視的關注點，因為他們在生育黃金年齡的生育潛力受到損害。大型語言模型（LLM）透過整合實證知識與治療框架，為填補腫瘤生育服務缺口提供了具潛力的解決方案。
適應症：Chatbot、Large Language Model、Adolescent and Young Adult Cancer Survivors、Reproductive Health
收案條件
納入條件
- (1) 15-39-year-old females; (2) cancer diagnosis between ages 15-39; (3) current or prior concerns regarding fertility; (4) proficiency in Mandarin Chinese; and (5) access to a mobile device for intervention delivery.
排除條件
- (1) Involvement in the chatbot co-design phases; (2) inability to provide informed consent; (3) significant sensory, cognitive, or psychological impairments precluding meaningful participation; and (4) acute illness at the time of recruitment.
收案條件維持 ClinicalTrials.gov 原始英文登錄資料，實際收案資格以研究團隊的正式評估與受試者同意書為準。資料來源：ClinicalTrials.gov，每兩週自動更新，最後同步：2026年10月8日。