Effects of a Large Language Model-Driven Chatbot on Reproductive Concerns After Cancer

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.

NCT Number	NCT07741266
Lead Sponsor	The Hong Kong Polytechnic University Collaborators: The University of Science and Technology of China
Conditions	Chatbot, Large Language Model, Adolescent and Young Adult Cancer Survivors, Reproductive Health
Enrollment	60 participants
Start Date	2026-09-01
Primary Completion	2027-06-30 (estimated)
Study Completion	2027-06-30 (estimated)
Updated on ClinicalTrials.gov	2026-08-03