Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities

Brynne A Sullivan; Kristyn Beam; Zachary A Vesoulis; Khyzer B Aziz; Ameena N Husain; Lindsey A Knake; Alvaro G Moreira; Thomas A Hooven; Elliott M Weiss; Nicholas R Carr; George T El-Ferzli; Ravi M Patel; Kelsey A Simek; Antonio J Hernandez; James S Barry; Ryan M McAdams

doi:10.1038/s41372-023-01848-5

Back

Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities

Journal article

Peer reviewed

Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities

Brynne A Sullivan, Kristyn Beam, Zachary A Vesoulis, Khyzer B Aziz, Ameena N Husain, Lindsey A Knake, Alvaro G Moreira, Thomas A Hooven, Elliott M Weiss, Nicholas R Carr, …

Journal of perinatology, Vol.44(1), pp.1-11

01/2024

DOI: 10.1038/s41372-023-01848-5

PMCID: PMC10872325

PMID: 38097685

Files and links (1)

url

https://pmc.ncbi.nlm.nih.gov/articles/PMC10872325/pdf/nihms-1954323.pdfView

Open Access

Abstract

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.

Details

Title: Subtitle: Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities
Creators: Brynne A Sullivan - University of Virginia
Kristyn Beam - Beth Israel Deaconess Medical Center
Zachary A Vesoulis - Washington University in St. Louis
Khyzer B Aziz - Johns Hopkins University
Ameena N Husain - University of Utah
Lindsey A Knake - Division of Neonatology, Department of Pediatrics, University of Iowa, Iowa City, IA, USA
Alvaro G Moreira - The University of Texas Health Science Center at San Antonio
Thomas A Hooven - University of Pittsburgh School of Medicine
Elliott M Weiss - Treuman Katz Center for Pediatric Bioethics and Palliative Care, Seattle Children's Research Institute, Seattle, WA, USA
Nicholas R Carr - University of Utah
George T El-Ferzli - The Ohio State University
Ravi M Patel - Emory University School of Medicine
Kelsey A Simek - University of Utah
Antonio J Hernandez - The University of Texas Health Science Center at San Antonio
James S Barry - Division of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
Ryan M McAdams - University of Wisconsin School of Medicine and Public Health
Resource Type: Journal article
Publication Details: Journal of perinatology, Vol.44(1), pp.1-11
DOI: 10.1038/s41372-023-01848-5
PMID: 38097685
PMCID: PMC10872325
NLM abbreviation: J Perinatol
eISSN: 1476-5543
Grant note: R01 HD110091 / NICHD NIH HHS K23 HD097254 / NICHD NIH HHS
Language: English
Electronic publication date: 12/15/2023
Date published: 01/2024
Academic Unit: Stead Family Department of Pediatrics; Neonatology
Record Identifier: 9984530395402771

Metrics

32 Record Views

36 Times Cited - Web of Science