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Published on: June 13, 2025
Artificial intelligence in pediatric nephrology: current applications and emerging frameworks for evidence generation
Giovanni Pellegrino1, Giovanni F M Strippoli2,3
1Department of Precision and Regenerative Medicine and Ionian Area (DIMEPRE-J), University of Bari Aldo Moro, Bari, Italy.
Artificial intelligence (AI) offers new ways to improve pediatric nephrology research by addressing challenges like small patient groups and rare diseases. AI can enhance diagnostics, predict outcomes, and personalize treatments for children with kidney conditions.
Area of Science:
- Pediatric Nephrology
- Medical Artificial Intelligence
Background:
- Pediatric nephrology faces research hurdles due to rare diseases, small patient cohorts, and ethical considerations.
- Traditional clinical trials are often impractical for pediatric kidney diseases, leading to evidence gaps.
Purpose of the Study:
- To review current and emerging artificial intelligence (AI) applications in pediatric nephrology.
- To explore how AI can overcome traditional research limitations in the field.
- To discuss future AI-driven research frameworks, including virtual trials and digital twins.
Main Methods:
- Narrative review of AI applications in pediatric nephrology.
- Integration of insights from broader nephrology research on real-world data and digital twins.
- Focus on established and near-term applications across various pediatric kidney conditions.
Main Results:
- AI offers complementary approaches for diagnosis, prognosis, imaging analysis, and treatment personalization.
- AI can aid in generating novel evidence frameworks, especially for rare pediatric kidney diseases.
- Established applications exist in chronic kidney disease, dialysis, transplantation, imaging, pathology, and genomics.
Conclusions:
- AI serves as a valuable adjunct to conventional clinical research in pediatric nephrology.
- AI holds significant promise for enhancing precision, inclusivity, and timeliness of evidence generation for children.
- Ethical, regulatory, and equity considerations specific to pediatric populations must be addressed for AI implementation.
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