AI-Based Symptom Management for Post-Treatment Breast Cancer Survivors

Sex: Female

Ages: 18 Years – N/A

Healthy volunteers: No

Phase: NA

Enrollment: 36

Sponsor: Hong Kong Metropolitan University

Summary

This pilot randomized controlled trial will test the feasibility and acceptability of an Artificial Intelligence-based Multidimensional Symptom Management (AIMS) intervention for post-treatment breast cancer survivors. Thirty-six participants will be randomly assigned (1:1) to receive either the AIMS intervention or usual care. Outcomes include feasibility (recruitment and retention), adherence, acceptability, symptom burden, psychological distress, quality of life, and safety of the AIMS intervention.

Eligibility Criteria

Inclusion Criteria: * Female breast cancer survivors aged 18 years or older * Experiencing at least one symptom in the past month (e.g., fatigue, pain and insomnia, a score of ≥2 on the 0-10 Numeric Rating Scale (0 = "no fatigue", 10 = "worst fatigue") * Completed primary treatment (surgery, chemotherapy, or radiotherapy) within the last 24 months * Able to read Chinese and use a smartphone or tablet Exclusion Criteria: * Unstable medical condition * Severe psychiatric disorders or cognitive impairment * Participation in another interventional study

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07770243). StuddyBuddy aggregates publicly available trial information.