AI-driven Total Parenteral Nutrition Platform

Recruiting now · Not applicable

Conditions studied: Intestinal Failure

In brief

This study tests whether an artificial intelligence (AI) tool can help doctors order total parenteral nutrition (TPN) for babies in the neonatal intensive care unit (NICU). Premature babies often cannot eat by mouth and need nutrition delivered through an IV. Ordering TPN is complex, time-consuming, and mistakes can happen. This study will test an AI tool that suggests TPN formulas to doctors based on each baby's lab values and health information. Doctors can accept, change, or reject the suggestions at any time. The main goal is to measure how often doctors accept the AI suggestions. The study will also track time to complete TPN orders, weight changes, days on TPN, whether lab values stay in normal ranges, provider satisfaction, and baby health outcomes including complications such as lung disease, brain bleeding, infections, and other conditions common in premature babies. Babies admitted to the NICU who need TPN may participate if their doctors agree to use the tool. Each baby will be in the study while they need TPN, typically about 14 days. The AI tool only makes suggestions and does not replace doctor decision-making. All other care remains the same as standard practice.

Key facts

Study ID

NCT07414576

Run by

Takeoff41, Inc.

People needed

260

Starts

2026-01-21

Expected to finish

2027-02-21

Last updated by the study team

2026-02-17

Who can join

Age: any, up to 1. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

• Infants deem unfit for the suggested TPN due to safety concerns by physicians

Where it is running

• Stanford University — Stanford, California, United States (enrolling)

Full record on ClinicalTrials.gov

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