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

被引:28
作者
Sammer, Marla B. K. [1 ,2 ,3 ]
Akbari, Yasmin S. [4 ]
Barth, Richard A. [5 ]
Blumer, Steven L. [6 ,7 ,8 ]
Dillman, Jonathan R. [9 ]
Farmakis, Shannon G. [10 ]
Frush, Don P. [11 ]
Gokli, Ami [12 ,13 ]
Halabi, Safwan S. [14 ]
Iyer, Ramesh [15 ]
Joshi, Aparna [16 ]
Kwon, Jeannie K. [17 ]
Otero, Hansel J. [18 ]
Sher, Andrew C. [1 ,2 ]
Sotardi, Susan T. [18 ]
Taragin, Benjamin H. [19 ,20 ,21 ]
Towbin, Alexander J. [22 ,23 ]
Wald, Christoph [24 ,25 ]
机构
[1] Texas Childrens Hosp, Singleton Dept Radiol, Houston, TX USA
[2] Baylor Coll Med, Dept Radiol, Houston, TX USA
[3] Amer Coll Radiol, Pediat AI Workgroup, Commiss Informat, Reston, VA USA
[4] Radia, Lynnwood, WA USA
[5] Stanford Univ, Lucile Packard Childrens Hosp, Dept Radiol, Palo Alto, CA USA
[6] Amer Coll Radiol Data Sci Inst, Pediat Panel, Reston, VA USA
[7] Univ Pittsburgh, Med Ctr Hlth Syst, Radiol Informat, Pittsburgh, PA USA
[8] Univ Pittsburgh, Childrens Hosp Pittsburgh, Med Ctr, Dept Radiol, Pittsburgh, PA USA
[9] Cincinnati Childrens Hosp Med Ctr, William S Ball Chair Radiol Res, Cincinnati, OH USA
[10] Mercy Childrens Hosp, Dept Radiol, St Louis, MO USA
[11] Duke Univ, Durham, NC USA
[12] Staten Isl Univ Hosp, Pediat Radiol, Staten Isl, NY USA
[13] Donald & Barbara Zucker Sch Med Hofstra Northwell, Dept Radiol Residency Program, Uniondale, NY USA
[14] Univ Chicago, Lurie Childrens Hosp, Chicago, IL USA
[15] Univ Washington, Seattle Childrens Hosp, Seattle, WA USA
[16] Univ Michigan, Sect Pediat Radiol, Ann Arbor, MI USA
[17] Univ Texas Southwestern Med Ctr Dallas, Dallas, TX USA
[18] Univ Penn, Childrens Hosp Philadelphia, Philadelphia, PA USA
[19] Samson Assuta Ashdod Univ Hosp, Dept Pediat Radiol, Ashdod, Israel
[20] Childrens Hosp Philadelphia, Philadelphia, PA USA
[21] Ben Gurion Univ Negev, Med Sch Int Hlth, Beer Sheva, Israel
[22] Cincinnati Childrens Hosp, Dept Radiol, Cincinnati, OH USA
[23] Univ Cincinnati, Coll Med, Dept Radiol, Cincinnati, OH USA
[24] Lahey Hosp & Med Ctr, Dept Radiol, Burlington, MA USA
[25] Tufts Univ, Med Sch, Boston, MA USA
关键词
CHILDREN;
D O I
10.1016/j.jacr.2023.06.003
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:730 / 737
页数:8
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