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

Daniel Vijlbrief; Jeroen Dudink; Wouter van Solinge; Manon Benders; Saskia Haitjema

doi:10.1038/s41390-022-02413-0

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

Daniel Vijlbrief^*, Jeroen Dudink, Wouter van Solinge, Manon Benders, Saskia Haitjema

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	437-439
Number of pages	3
Journal	Pediatric Research
Volume	93
Issue number	2
DOIs	https://doi.org/10.1038/s41390-022-02413-0
Publication status	Published - Jan 2023

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

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.",

author = "Daniel Vijlbrief and Jeroen Dudink and {van Solinge}, Wouter and Manon Benders and Saskia Haitjema",

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doi = "10.1038/s41390-022-02413-0",

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AU - Vijlbrief, Daniel

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AU - van Solinge, Wouter

AU - Benders, Manon

AU - Haitjema, Saskia

PY - 2023/1

Y1 - 2023/1

N2 - 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.

AB - 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.

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

Abstract

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