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

Digital Health Reviews (3652) Clinical Informatics (2255) E-Health Policy and Health Systems Innovation (523) Clinical Information and Decision Making (3686) Adoption and Change Management of eHealth Systems (1115) Decision Support for Health Professionals (2222) Machine Learning (3159) Artificial Intelligence (4747) New Diagnostic Tools and Instruments for Pediatrics (69) Pediatric ICU (PICU) (31)

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 (12) Tweetations (8) Metrics

Journals

  1. Żerdziński K, Janiec J, Jóźwik K, Łajczak P, Krzych Ł. Artificial Intelligence in Intensive Care: An Overview of Systematic Reviews with Clinical Maturity and Readiness Mapping. Journal of Clinical Medicine 2025;15(1):185 View
  2. Nikolaou A, Baltogianni M, Dermitzaki N, Chatzigiannis N, Savidou D, Geitonas S, Giaprou L, Giapros V. Artificial Intelligence in Neonatal Respiratory Care: Current Applications and Future Directions. Applied Sciences 2026;16(3):1339 View
  3. Kutman G. Yenidoğan Yoğun Bakım Ünitesinde Yapay Zeka Uygulamaları ve Hemşirelik Açısından Değerlendirilmesi. Balkan Sağlık Bilimleri Dergisi 2026;5(1):49 View
  4. Akbasli I, Loomba R, Kesici S, Marino B, Morca A, Baloglu O. Artificial Intelligence in Pediatric Cardiac Intensive Care: Clinical Applications, Implementation Challenges, and Future Directions. Current Treatment Options in Pediatrics 2026;12(1) View
  5. Necula A, Pavalache-Stoiciu R, Andrasoaie L, Isam A. Neurodevelopmental Trajectories in Preterm Neonates: Integrating Neuroimaging Modalities with Clinical Neurological Outcomes. Diagnostics 2026;16(9):1356 View
  6. Dias R, Neu J, Saugstad O. The Future Was Yesterday: Artificial Intelligence in Newborn Medicine. Neonatology 2026:1 View
  7. Balistreri C, Asta L, Nocerino S, Tarantino D, Pisano C, Gallo D, Pasta S. Artificial Intelligence in Aorta Aneurysm Management: Translational Applications and Limits. AI 2026;7(6):209 View
  8. Lai N, Yeo K, Kong J, Abdel‐Latif M. Artificial Intelligence in Neonatal Care: The Breadth of Promise, the Depth of Challenge—An Overview. Journal of Paediatrics and Child Health 2026 View
  9. Rahman M, Mustafa N, Rony M, Shohag M, Akhter M, Saima S, Sultana J, Akter F. Reinforcement learning for optimizing cardiovascular treatment strategies: A narrative review. Journal of Medicine, Surgery, and Public Health 2026;10:100246 View
  10. Bhatt A, Nimbalkar S, Bharti L. Ethical aspects of artificial intelligence use in neonatal intensive care units: a scoping review. European Journal of Pediatrics 2026;185(9) View
  11. Nikolaou A, Chatzigiannis N, Kefala M, Papaioannou E, Baltogianni M, Giaprou L, Giapros V. Quantitative Ultrasound Imaging and Artificial Intelligence in Neonatal Echocardiography: Methodological Advances, Reproducibility Challenges, and Computational Perspectives. Journal of Imaging 2026;12(8):356 View
  12. Gupta G, Shubham S, Joshi R, Ahmed S, Puri N. NeonatAIlogy: The GIRISH (Goal, Input, Role, Iterative Refinement, Safety Verification, and Human Accountability) Framework for Structured, Human-Accountable Artificial Intelligence in Neonatal Intensive Care. Cureus 2026 View