What This Means
This paper describes the design of a clinical trial—not its results—that will test whether an artificial intelligence (AI) health education tool can help older cancer patients feel better mentally and physically after surgery. The study focuses on people aged 60 and older who have had surgery for head and neck cancer, a group that faces especially difficult challenges because cancer treatment can impair their ability to speak, swallow, and maintain their appearance, while aging adds additional physical and emotional burdens. Half of the 100 enrolled patients will use an AI assistant called 'Kangkang' that provides personalized videos, graphics, and answers to health questions over 12 months, while the other half will receive standard text message health tips.
Researchers will measure a wide range of outcomes including anxiety, depression, stress, self-esteem, sleep quality, loneliness, fear of cancer returning, nutritional status, pain, fall risk, and overall quality of life. These measurements will be taken five times over a year—before surgery and at 1, 3, 6, and 12 months after surgery—to track how patients change over time. The study uses rigorous statistical methods designed to account for patients who may drop out before the study ends.
This research suggests that AI-driven, personalized health education could be a scalable way to support older cancer patients beyond the hospital setting, potentially addressing gaps in mental health and quality-of-life support that standard care may not fully meet. However, because this is a single-center study relying largely on patients' own reports, the authors note that the results may not apply broadly to all populations, and they call for larger, multi-site studies in the future. As of publication, this is a protocol paper only—no outcome data have yet been collected or reported.