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The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence

ArXiv Preprint

Artificial intelligence (AI), specifically a branch of AI called deep learning (DL), has proven revolutionary developments in almost all fields, from computer vision to health sciences, and its effects in medicine have changed clinical applications significantly. Although some sub-fields of medicine such as pediatrics have been relatively slow in receiving critical benefits of AI, related research in pediatrics started to be accumulated to a significant level too. Hence, in this paper, we review recently developed machine learning and deep learning based systems for neonatology applications. We systematically evaluate the role of AI in neonatology applications, define the methodologies, including algorithmic developments, and describe the remaining challenges in neonatal diseases. To date, survival analysis, neuroimaging, EEG, pattern analysis of vital parameters, and retinopathy of prematurity diagnosis with AI have been the main focus in neonatology. We have categorically summarized 96 research articles, from 1996 to 2022, and discussed their pros and cons, respectively. We also discuss possible directions for new AI models and the future of neonatology with the rising power of AI, suggesting roadmaps for integration of AI into neonatal intensive care units.

Elif Keles, Ulas Bagci

2023-02-01