| Title: |
Efficacy of an artificial intelligence-based program for managing fatigue in Chinese young breast cancer survivors: a randomized controlled trial |
| Authors: |
Yun Hu, Joshua Wiley, Lulu Jiang, Ran Yi, Eun-Ok Im |
| Source: |
The Lancet Regional Health. Western Pacific, Vol 55, Iss , Pp 101288- (2025) |
| Publisher Information: |
Elsevier, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Public aspects of medicine |
| Subject Terms: |
Public aspects of medicine, RA1-1270 |
| More Details: |
Background: Fatigue is a common problem among breast cancer survivors, particularly among young breast cancer survivors (YBCSs) who often juggle work and family responsibilities. This demographic frequently experiences high levels of fatigue, which adversely impacts their quality of life. The study aimed to examine the effectiveness of an artificial intelligence (AI) -based program in managing cancer-related fatigue among Chinese YBCSs. Methods: A randomized clinical trial was conducted from Jan2021 to Dec 2022, involving 115 YBCSs. The intervention group received multimodal support combing artificial intelligence (AI) interaction and humanities skills, while the control group received online information support only for 12 weeks. The outcomes were measured using the BFI (Fatigue, primary), and the FACT-B (quality of life, secondary). An intention-to treat approach was used to analyze differences in fatigue and quality of life. Findings: Both groups showed improvements in fatigue score(p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2666-6065 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2666606524002827; https://doaj.org/toc/2666-6065 |
| DOI: |
10.1016/j.lanwpc.2024.101288 |
| Access URL: |
https://doaj.org/article/5936f34859e542959135ef8da0ca92f2 |
| Accession Number: |
edsdoj.5936f34859e542959135ef8da0ca92f2 |
| Database: |
Directory of Open Access Journals |
