Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Can a Fairness-Aware AI reduce bias in ER admissions?

NCT ID NCT06434220

First seen Apr 15, 2026 · Last updated May 21, 2026 · Updated 7 times

Summary

This study looks at whether a specially designed AI model can help emergency room doctors make fairer decisions about which patients need to be admitted to the hospital. Researchers will ask 10 ER doctors at Boston Children's Hospital to predict a patient's admission risk before and after seeing the AI's suggestion. The goal is to see if the AI can reduce healthcare disparities without sacrificing accuracy.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for PATIENT OUTCOME ASSESSMENT are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Conditions

Explore the condition pages connected to this study.