Opportunities and Challenges of Using Artificial Intelligence in Predicting Clinical Outcomes and Length of Stay in Neonatal Intensive Care Units: Systematic Review.

ABSTRACT:

Background

The use of artificial intelligence (AI) in health care has been steadily increasing for over 2 decades. Integrating AI into neonatal intensive care units (NICUs) has promise as it has the potential to reshape neonatal care and improve outcomes. However, challenges such as data quality, clinical interpretation, and ethical considerations may hinder AI's practical implementation in NICUs.

Objective

This study aims (1) to analyze the current AI research landscape for predicting clinical outcomes and length of stay in the NICU and (2) to explore the benefits and challenges of using AI in the NICU for these predictions.

Methods

A systematic review was conducted across 6 databases-PubMed, Embase, CINAHL, Cochrane Library, Informit, and La Trobe Library-to identif

SUBMITTER: Tudor S 

PROVIDER: S-EPMC12534773 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature