This study investigates the nutritional assessment and intervention for patients after radical surgery for pancreatic cancer. The purpose of this study is to evaluate the use of patient-generated health data (PGHD) and artificial intelligence (AI) in assessing nutritional risks.
The study focuses on the feasibility of using AI to predict health status and provide nutritional support evaluation. It evaluates the effectiveness of these methods in managing pancreatic cancer patients' health and improving their quality of life.
- Who can participate: Adults aged 18 to 80 who have undergone radical surgery for pancreatic cancer and meet clinical diagnostic criteria are eligible. Participants must have an ECOG score of 0-1.
- Study details: Participants will use an app to manage their health data and undergo routine follow-ups. The study includes a control group and a test group to compare nutritional status predictions.
- Study timelines: The study will last 1 year.