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

NCT07741266 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2026-08-03

No results posted yet for this study

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.

Conditions

  • Chatbot
  • Large Language Model
  • Adolescent and Young Adult Cancer Survivors
  • Reproductive Health

Interventions

OTHER

Chatbot

A large language model-driven chatbot that incorporates acceptance and commitment therapy, a verified onco-fertility knowledge base, and relevant policy information.

OTHER

Electronic brochure

An electronic brochure that contains psychoeducational materials, verified onco-fertility knowledge, and relevant policy information.

Sponsors & Collaborators

  • The University of Science and Technology of China

    collaborator OTHER

  • The Hong Kong Polytechnic University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
15 Years
Max Age
39 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-01
Primary Completion
2027-06-30
Completion
2027-06-30

Countries

  • China
  • Hong Kong

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07741266 on ClinicalTrials.gov