医学
临床决策支持系统
医疗保健
决策支持系统
预言
人工智能
风险分析(工程)
数据科学
计算机科学
数据挖掘
经济增长
经济
作者
T’ng Chang Kwok,Caroline Henry,Sina Saffaran,M.T.H. Meeus,Declan G. Bates,David Van Laere,Geraldine B. Boylan,James P. Boardman,Don Sharkey
标识
DOI:10.1016/j.siny.2022.101346
摘要
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.
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