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

Digital Health Reviews (1724) Clinical Information and Decision Making (1915) Artificial Intelligence (2129) Clinical Informatics (1325) Machine Learning (2076) Decision Support for Health Professionals (1539) Pediatric ICU (PICU) (20) E-Health Policy and Health Systems Innovation (341) Adoption and Change Management of eHealth Systems (894) New Diagnostic Tools and Instruments for Pediatrics (48)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63175, first published .
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

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 Tweetations (9) Metrics

Samantha Tudor   1 , MDH ;   Risha Bhatia   2 , PhD ;   Michael Liem   1 , PhD ;   Tafheem Ahmad Wani   1 , PhD ;   James Boyd   1 , PhD ;   Urooj Raza Khan   1 , PhD

1 La Trobe University, Melbourne, Australia

2 Monash University, Melbourne, Australia

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