Challenges and Perspectives of Pediatric Radiology in Low and Middle-Income Countries

Authors

  • Pradeep Raj Regmi Department of Radiodiagnosis, Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital, Institute of Medicine, Kathmandu, Nepal
  • Swachchhanda Songmen East Virginia Medical School
  • Sharma Paudel Department of Radiodiagnosis, Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital, Institute of Medicine, Kathmandu, Nepal
  • Benu Lohani Department of Radiodiagnosis, Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital, Institute of Medicine, Kathmandu, Nepal
  • Ram Kumar Ghimire Nepal Mediciti Hospital, Lalitpur, Nepal

DOI:

https://doi.org/10.59779/jiomnepal.1420

Keywords:

Artificial intelligence , Challenges , LMICs, Pediatric Radiology , Radiation Dose

Abstract

Radiology serves as the preeminent diagnostic tool of modern pediatric radiology. It is crucial for pinpointing subtle pathologies and directing targeted, life-saving treatments in children who often cannot articulate their symptoms. However, providing equitable, high-quality pediatric imaging in low and middle-income countries (LMICs) remains a monumental global health challenge. These regions continuously struggle against infrastructural hurdles: a severe shortage of subspecialized personnel, advanced equipment costs, and severely limited governmental investment in targeted healthcare. Furthermore, adhering to stringent dose-reduction protocols for children proves to be a daunting daily task in these resource-constrained environments. This viewpoint article explores the multifaceted challenges of pediatric radiology in LMICs, systematically categorized into service delivery, educational deficits, and socioeconomic barriers. We critically examine the disparities in specialized care between the western and eastern regions, highlighting the absolute necessity for tailored, pediatric-specific imaging protocols that prioritize patient safety and minimize ionizing radiation exposure. Crucially, this perspective explores the transformative potential of teleradiology and the ethical integration of artificial intelligence (AI) to alleviate severe workforce burdens, alleviate diagnostic burden, and standardize care across borders. By fostering robust international collaboration, advancing targeted educational fellowships, and deploying trustworthy AI, the global pediatric radiology community can actively narrow the alarming gap in pediatric radiological services, ensuring that life-saving diagnostics are accessible to the most vulnerable populations, regardless of geographic or economic boundaries.

Author Biography

  • Swachchhanda Songmen, East Virginia Medical School

    Assistant Professor in Radiology in East Virginia Medical School 

Published

2026-04-30

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