Accessibility settings

This paper is in the following e-collection/theme issue:

Digital Health Reviews (1883) Clinical Informatics (1503) E-Health Policy and Health Systems Innovation (390) Clinical Information and Decision Making (2157) Adoption and Change Management of eHealth Systems (990) Decision Support for Health Professionals (1705) Machine Learning (2316) Artificial Intelligence (2469) New Diagnostic Tools and Instruments for Pediatrics (54) Pediatric ICU (PICU) (25)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63175, first published .
Newborn baby in hospital bassinet holding a caregiver's finger

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

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

Authors of this article:

Samantha Tudor1 Author Orcid Image ;   Risha Bhatia2 Author Orcid Image ;   Michael Liem1 Author Orcid Image ;   Tafheem Ahmad Wani1 Author Orcid Image ;   James Boyd1 Author Orcid Image ;   Urooj Raza Khan1 Author Orcid Image
Article Authors Cited by (6) Tweetations (8) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.