AI in Pediatric Imaging: Unique Hurdles and Potential Amid Developmental and Data Scarcity

AI in pediatric imaging lags behind adult radiology AI due to developmental variability, differing disease epidemiology, and limited data; narrative review identifies key barriers and opportunities for safe clinical translation.

• Pediatric AI faces fundamental challenges from developmental variability, unique disease spectra, and scarce curated datasets distinct from adult imaging.
• The review outlines biological, technical, and structural factors shaping current and emerging pediatric AI applications.

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