Application and potential of artificial intelligence in neonatal medicine

T'ng Chang Kwok, Caroline Henry, Sina Saffaran, Marisse Meeus, Declan Bates, David Van Laere, Geraldine Boylan, James P Boardman, Don Sharkey

Research output: Contribution to journalReview articlepeer-review


Neonatal care is becoming increasingly complex with large amounts of rich, routinely recorded physiological, diagnostic and outcome data. Artificial intelligence (AI) has the potential to harness this vast quantity and range of information and become a powerful tool to support clinical decision making, personalised care, precise prognostics, and enhance patient safety. Current AI approaches in neonatal medicine include tools for disease prediction and risk stratification, neurological diagnostic support and novel image recognition technologies. Key to the integration of AI in neonatal medicine is the understanding of its limitations and a standardised critical appraisal of AI tools. Barriers and challenges to this include the quality of datasets used, performance assessment, and appropriate external validation and clinical impact studies. Improving digital literacy amongst healthcare professionals and cross-disciplinary collaborations are needed to harness the full potential of AI to help take the next significant steps in improving neonatal outcomes for high-risk infants.

Original languageEnglish
Article number101346
JournalSeminars in Fetal and Neonatal Medicine
Issue number5
Early online date18 Apr 2022
Publication statusPublished - Oct 2022


  • Artificial intelligence
  • Machine learning
  • Neonatal medicine


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