AI assistant helps NICU doctors feed tiniest patients

NCT ID NCT07414576

Recruiting now Knowledge-focused Sponsor: Takeoff41, Inc. Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

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. The AI suggests TPN formulas based on each baby's lab values and health information, but doctors can accept, change, or reject the suggestions. The main goal is to see how often doctors accept the AI suggestions and whether it improves efficiency and safety.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: AI-driven clinical decision support software
What this could lead to: If successful, this could lead to a safer, faster way for doctors to order IV nutrition for premature babies, reducing errors and improving care.
What could go wrong: This is a small pilot study, so results may not apply to all hospitals. The AI only suggests—doctors still decide. It may not improve outcomes or could have unexpected issues.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

chronic intestinal failure Hyperphagia Intestinal Failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

INTESTINAL FAILURE

Contacts and locations

Locations

Stanford University
RECRUITING

Stanford, California, 94305, United States

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