Shanghai General Hospital
Shanghai, Shanghai Municipality, 200080, China
Location status: Recruiting
NCT Number: NCT07167264
This study will collect patient PRO (physical strength, pain, defecation, appetite, weight, etc.) data through the APP, use corpus collection cards, facial photography and other technologies to collect PGHD characteristic phenotypes, and then combine artificial intelligence technology to train and cultivate agents (agents) to carry out joint offline routine follow-up of patients after radical pancreatic cancer resection to evaluate the feasibility of nutritional risk assessment intervention. Thus, the feasibility of artificial intelligence prediction of health status is verified, and an efficient follow-up tool and nutritional support evaluation plan are provided for the management of pancreatic cancer patients throughout the course of the disease, so as to improve the treatment prognosis and quality of life of pancreatic cancer patients.
Interested in participating?
Request Info18 year–80 year
All sexes
Interventional
Not applicable
Shanghai, Shanghai Municipality, 200080, China
Location status: Recruiting
This study is a prospective randomized controlled exploratory clinical trial to recruit 200 patients after radical pancreatic cancer resection.
Screening eligible subjects will be randomly assigned to the test group and the control group, and the randomization stratification factors include: age, gender, TNM stage, ECOG score, baseline BMI.
The experimental group and the control group received offline routine follow-up combined with PGHD-AI's APP management and routine outpatient follow-up, respectively, to compare the prediction of nutritional status risk and intervention response.
The study period is 1 year.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
To collect patient PRO (physical strength, pain, defecation, appetite, weight, etc.) data through the PGHD's AI intelligent model(APP), and use corpus collection cards, facial photography and other technologies to collect PGHD characteristic phenotypes.
Time frame: 12 months after enrollment
Time frame: 12 months after enrollment
Time frame: 12 months after enrollment
Contact information is provided by the study sponsor or research team.
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Other
Evaluation of a Combined PGHD-AI Intelligent Model for the Nutritional Assessment and Intervention of Patients After Radical Surgery for Pancreatic Cancer.
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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