From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine

Publication date

2023-01

Authors

Vijlbrief, Daniel CORCID 0000-0002-2682-7386ISNI 0000000419423353
Dudink, JeroenISNI 0000000387693657
Van Solinge, Wouter W.ORCID 0000-0003-2867-2581ISNI 0000000394265028
Benders, Manon J.N.L.ISNI 0000000388026661
Haitjema, SaskiaORCID 0000-0001-5465-4868

Editors

Advisors

Supervisors

Document Type

Article

Collections

Open Access logo

License

taverne

Abstract

Abstract: In recent years, data have become the main driver of medical innovation. With increased availability and decreased price of storage and computing power, the potential for improvement in care is enormous. Many data-driven explorations have started. However, the actual implementation of artificial intelligence in healthcare remains scarce. We describe essential elements during a computer-to-bedside process in a data science project that support the crucial role of the neonatologist. Impact: There is a great potential for data science in neonatal medicine.Multidisciplinary teams form the foundation of a data science project.Domain experts will need to play a pivotal role.We need an open learning environment.

Keywords

Infant, Newborn, Humans, Artificial Intelligence, Neonatologists, Computers, Delivery of Health Care, Medicine, Taverne, Pediatrics, Perinatology, and Child Health, Journal Article

Citation

Vijlbrief, D, Dudink, J, van Solinge, W, Benders, M & Haitjema, S 2023, 'From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine', Pediatric Research, vol. 93, no. 2, pp. 437-439. https://doi.org/10.1038/s41390-022-02413-0