Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities.
Brynne Archer SullivanKristyn S BeamZachary A VesoulisKhyzer B AzizAmeena N HusainLindsey A KnakeAlvaro G MoreiraThomas Alexander HoovenElliott Mark WeissNicholas Ryan CarrGeorge T El-FerzliRavi Mangal PatelKelsey A SimekAntonio J HernandezJames S BarryRyan M McAdamsPublished in: Journal of perinatology : official journal of the California Perinatal Association (2023)
Artificial intelligence (AI) offers tremendous potential to transform neonatology through improved diagnostics, personalized treatments, and earlier prevention of complications. However, there are many challenges to address before AI is ready for clinical practice. This review defines key AI concepts and discusses ethical considerations and implicit biases associated with AI. Next we will review literature examples of AI already being explored in neonatology research and we will suggest future potentials for AI work. Examples discussed in this article include predicting outcomes such as sepsis, optimizing oxygen therapy, and image analysis to detect brain injury and retinopathy of prematurity. Realizing AI's potential necessitates collaboration between diverse stakeholders across the entire process of incorporating AI tools in the NICU to address testability, usability, bias, and transparency. With multi-center and multi-disciplinary collaboration, AI holds tremendous potential to transform the future of neonatology.
Keyphrases
- subarachnoid hemorrhage
- artificial intelligence
- brain injury
- machine learning
- big data
- deep learning
- healthcare
- clinical practice
- palliative care
- human health
- intensive care unit
- preterm infants
- metabolic syndrome
- type diabetes
- risk assessment
- social media
- current status
- stem cells
- adipose tissue
- mesenchymal stem cells
- insulin resistance
- climate change
- risk factors
- septic shock