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Application and potential of artificial intelligence in neonatal medicine
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Kwok, T'ng Chang, Henry, Caroline, Saffaran, Sina, Meeus, Marisse, Bates, Declan G., Van Laere, David, Boylan, Geraldine, Boardman, James P. and Sharkey, Don (2022) Application and potential of artificial intelligence in neonatal medicine. Seminars in Fetal and Neonatal Medicine, 27 (5). 101346. doi:10.1016/j.siny.2022.101346 ISSN 1744-165X.
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Official URL: http://doi.org/10.1016/j.siny.2022.101346
Abstract
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.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | Q Science > Q Science (General) R Medicine > RJ Pediatrics T Technology > TA Engineering (General). Civil engineering (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Neonatology , Neonatology --Technological innovations, Artificial intelligence , Machine learning | |||||||||||||||
Journal or Publication Title: | Seminars in Fetal and Neonatal Medicine | |||||||||||||||
Publisher: | Elsevier | |||||||||||||||
ISSN: | 1744-165X | |||||||||||||||
Official Date: | October 2022 | |||||||||||||||
Dates: |
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Volume: | 27 | |||||||||||||||
Number: | 5 | |||||||||||||||
Article Number: | 101346 | |||||||||||||||
DOI: | 10.1016/j.siny.2022.101346 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
Date of first compliant deposit: | 1 March 2023 | |||||||||||||||
Date of first compliant Open Access: | 1 March 2023 | |||||||||||||||
RIOXX Funder/Project Grant: |
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