Reproductive health has emerged as a critical yet overlooked concern among Adolescent and Young Adult (AYA) cancer survivors, given their compromised potential for biological parenthood in prime childbearing years. Large language models (LLMs) offer a promising solution to bridge onco-fertility service gaps by integrating evidence-based knowledge and therapeutic frameworks. This pilot randomized controlled trial aims to assess the feasibility and preliminary effectiveness of an LLM-driven chatbot versus electronic brochure in addressing reproductive concerns among AYA cancer survivors.
Conditions: Chatbot, Large Language Model, Adolescent and Young Adult Cancer Survivors, Reproductive Health
Eligibility Criteria
Inclusion Criteria
- (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.
Exclusion Criteria
- (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.
Eligibility criteria are kept as the original English records from ClinicalTrials.gov; actual eligibility is determined by the research team's formal assessment and the informed consent form. Source: ClinicalTrials.gov, updated automatically every two weeks. Last synced: 2026年10月8日.