RT Journal Article
SR Electronic
T1 Artificial Intelligence in the Future Landscape of Pediatric Neuroradiology: Opportunities and Challenges
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
SP 549
OP 553
DO 10.3174/ajnr.A8086
VO 45
IS 5
A1 Bhatia, Aashim
A1 Khalvati, Farzad
A1 Ertl-Wagner, Birgit Betina
YR 2024
UL http://www.ajnr.org/content/45/5/549.abstract
AB SUMMARY: This paper will review how artificial intelligence (AI) will play an increasingly important role in pediatric neuroradiology in the future. A safe, transparent, and human-centric AI is needed to tackle the quadruple aim of improved health outcomes, enhanced patient and family experience, reduced costs, and improved well-being of the healthcare team in pediatric neuroradiology. Equity, diversity and inclusion, data safety, and access to care will need to always be considered. In the next decade, AI algorithms are expected to play an increasingly important role in access to care, workflow management, abnormality detection, classification, response prediction, prognostication, report generation, as well as in the patient and family experience in pediatric neuroradiology. Also, AI algorithms will likely play a role in recognizing and flagging rare diseases and in pattern recognition to identify previously unknown disorders. While AI algorithms will play an important role, humans will not only need to be in the loop, but in the center of pediatric neuroimaging. AI development and deployment will need to be closely watched and monitored by experts in the field. Patient and data safety need to be at the forefront, and the risks of a dependency on technology will need to be contained. The applications and implications of AI in pediatric neuroradiology will differ from adult neuroradiology.AIartificial intelligenceLLMlarge language models