The role of Artificial Intelligence in diagnosing rare pediatric diseases: A global perspective

Iragamreddy, Venugopal Reddy (2025) The role of Artificial Intelligence in diagnosing rare pediatric diseases: A global perspective. World Journal of Biology Pharmacy and Health Sciences, 21 (1). 036-038. ISSN 2582-5542

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Abstract

Rare pediatric diseases often present significant diagnostic challenges due to their atypical manifestations and lack of familiarity among healthcare providers. Artificial Intelligence (AI) offers transformative potential in bridging diagnostic gaps, particularly in resource-limited settings. This review highlights the role of AI in identifying rare pediatric conditions through advanced algorithms, pattern recognition, and machine learning. By examining successful implementations globally, we explore the potential of AI to revolutionize pediatric diagnostics, address disparities in healthcare access, and improve outcomes for children. Challenges such as data bias, ethical considerations, and infrastructural barriers are also discussed, alongside recommendations for future research and integration strategies.

Item Type: Article
Official URL: https://doi.org/10.30574/wjbphs.2025.21.1.1108
Uncontrolled Keywords: Artificial Intelligence; Rare pediatric diseases; Machine learning; Healthcare disparities; Diagnostic tools; Global health
Depositing User: Editor WJBPHS
Date Deposited: 04 Aug 2025 16:55
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/2756