生殖健康已成为青少年及年轻成人（AYA）癌症存活者中一个关键但常被忽视的关注点，因为他们在生育黄金年龄的生育潜力受到损害。大型语言模型（LLM）通过整合实证知识与治疗框架，为填补肿瘤生育服务缺口提供了具潜力的解决方案。
适应症：Chatbot、Large Language Model、Adolescent and Young Adult Cancer Survivors、Reproductive Health
入组条件
纳入标准
- (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.
排除标准
- (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.
入组条件维持 ClinicalTrials.gov 原始英文登记资料，实际入组资格以研究团队的正式评估与受试者知情同意书为准。资料来源：ClinicalTrials.gov，每两周自动更新，最后同步：2026年10月8日。