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Effects of a Large Language Model-Driven Chatbot on Reproductive Concerns After Cancer
Sponsor: The Hong Kong Polytechnic University
Summary
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.
Official title: The Feasibility and Preliminary Effectiveness of a Large Language Model-Driven Chatbot in Addressing Reproductive Concerns Among Adolescent and Young Adult Cancer Survivors: A Pilot Randomized Controlled Trial
Key Details
Gender
FEMALE
Age Range
15 Years - 39 Years
Study Type
INTERVENTIONAL
Enrollment
60
Start Date
2026-09-01
Completion Date
2027-06-30
Last Updated
2026-08-03
Healthy Volunteers
No
Interventions
Chatbot
A large language model-driven chatbot that incorporates acceptance and commitment therapy, a verified onco-fertility knowledge base, and relevant policy information.
Electronic brochure
An electronic brochure that contains psychoeducational materials, verified onco-fertility knowledge, and relevant policy information.
Locations (2)
The University of Science and Technology of China
Hefei, Anhui, China
The Hong Kong Polytechnic University
Kowloon, Hong Kong