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Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup.

Publication ,  Journal Article
Sammer, MBK; Akbari, YS; Barth, RA; Blumer, SL; Dillman, JR; Farmakis, SG; Frush, DP; Gokli, A; Halabi, SS; Iyer, R; Joshi, A; Kwon, JK ...
Published in: J Am Coll Radiol
August 2023

In this white paper, the ACR Pediatric AI Workgroup of the Commission on Informatics educates the radiology community about the health equity issue of the lack of pediatric artificial intelligence (AI), improves the understanding of relevant pediatric AI issues, and offers solutions to address the inadequacies in pediatric AI development. In short, the design, training, validation, and safe implementation of AI in children require careful and specific approaches that can be distinct from those used for adults. On the eve of widespread use of AI in imaging practice, the group invites the radiology community to align and join Image IntelliGently (www.imageintelligently.org) to ensure that the use of AI is safe, reliable, and effective for children.

Duke Scholars

Published In

J Am Coll Radiol

DOI

EISSN

1558-349X

Publication Date

August 2023

Volume

20

Issue

8

Start / End Page

730 / 737

Location

United States

Related Subject Headings

  • Societies, Medical
  • Radiology
  • Radiography
  • Nuclear Medicine & Medical Imaging
  • Humans
  • Diagnostic Imaging
  • Child
  • Artificial Intelligence
  • Adult
  • 3202 Clinical sciences
 

Citation

APA
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ICMJE
MLA
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Sammer, M. B. K., Akbari, Y. S., Barth, R. A., Blumer, S. L., Dillman, J. R., Farmakis, S. G., … Wald, C. (2023). Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup. J Am Coll Radiol, 20(8), 730–737. https://doi.org/10.1016/j.jacr.2023.06.003
Sammer, Marla B. K., Yasmin S. Akbari, Richard A. Barth, Steven L. Blumer, Jonathan R. Dillman, Shannon G. Farmakis, Don P. Frush, et al. “Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup.J Am Coll Radiol 20, no. 8 (August 2023): 730–37. https://doi.org/10.1016/j.jacr.2023.06.003.
Sammer MBK, Akbari YS, Barth RA, Blumer SL, Dillman JR, Farmakis SG, et al. Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup. J Am Coll Radiol. 2023 Aug;20(8):730–7.
Sammer, Marla B. K., et al. “Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup.J Am Coll Radiol, vol. 20, no. 8, Aug. 2023, pp. 730–37. Pubmed, doi:10.1016/j.jacr.2023.06.003.
Sammer MBK, Akbari YS, Barth RA, Blumer SL, Dillman JR, Farmakis SG, Frush DP, Gokli A, Halabi SS, Iyer R, Joshi A, Kwon JK, Otero HJ, Sher AC, Sotardi ST, Taragin BH, Towbin AJ, Wald C. Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup. J Am Coll Radiol. 2023 Aug;20(8):730–737.
Journal cover image

Published In

J Am Coll Radiol

DOI

EISSN

1558-349X

Publication Date

August 2023

Volume

20

Issue

8

Start / End Page

730 / 737

Location

United States

Related Subject Headings

  • Societies, Medical
  • Radiology
  • Radiography
  • Nuclear Medicine & Medical Imaging
  • Humans
  • Diagnostic Imaging
  • Child
  • Artificial Intelligence
  • Adult
  • 3202 Clinical sciences