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.

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NCT07414576

AI-driven Total Parenteral Nutrition Platform

Recruiting
NAUp to 6InterventionalHealth services
Takeoff41, Inc.
~260 participants
Updated 2026-02-17 on ClinicalTrials.gov
What's tested:AI-driven total parenteral nutrition (TPN)

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
System Acceptance Rate
Measured over 10 months
Intestinal Failure
1 sites across 1 states
California1
  • David Stevenson, MD · PRINCIPAL_INVESTIGATOR · Stanford University

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Eligibility criteria

Inclusion

Any newborns or infants requiring total parenteral nutrition in a neonatal ICU that performs daily laboratory tests
6-month old at the time of admission
Any gestational age or birthweight
Any race or sex
  • 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.