ARTIFICIAL INTELLIGENCE IN PEDIATRIC RADIOLOGY: CLINICAL APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS

Authors

  • Murtazayeva Zilola Fakhriddinovna Lecturer at the Department of Pre-Clinical Sciences Asia International University

DOI:

https://doi.org/10.55640/

Abstract

Artificial intelligence (AI) is rapidly reshaping pediatric radiology by improving diagnostic accuracy, optimizing workflow efficiency, and reducing radiation exposure. Pediatric imaging presents unique challenges due to developmental anatomy and heightened radiation sensitivity. This comprehensive review discusses current AI applications, clinical impact, challenges, and future perspectives in pediatric radiology.

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Published

2026-01-19

Issue

Vol. 5 No. 01 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

ARTIFICIAL INTELLIGENCE IN PEDIATRIC RADIOLOGY: CLINICAL APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(01), 1269-1270. https://doi.org/10.55640/