AI-driven Total Parenteral Nutrition Platform for Infants
This study is testing an artificial intelligence (AI) tool called TPN2.0 that helps doctors create nutrition plans for babies in the neonatal intensive care unit (NICU). Many premature babies can't eat normally and need total parenteral nutrition (TPN), which is given through an IV. Ordering TPN can be complicated, so this AI tool will suggest TPN formulas based on each baby's lab results and health information. Doctors can always choose to accept, change, or reject these suggestions. The main goal is to see how often doctors accept the AI's recommendations. This study plans to enroll 260 newborns or infants up to 6 months old who need TPN in the NICU and have daily lab tests. The study's status is currently unclear.
- Study design
- This study is an interventional study planning to enroll 260 newborns or infants. It tests an AI-driven clinical decision support software that provides TPN composition recommendations.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, System Acceptance Rate, is measured at 10 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
AI-driven Total Parenteral Nutrition Platform
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- David Stevenson, MD · PRINCIPAL_INVESTIGATOR · Stanford University
Who to contact
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Do you actually qualify for this trial?
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Inclusion
What this trial measures
- System Acceptance Rate10 months
Percentage of AI-generated recommendations that are accepted or modified by providers for each ingredient of TPN. Measured by retrospective comparison between AI suggestion and actual TPN order submitted.