Performance of adult-trained artificial intelligence models in paediatric imaging—a scoping review
Question How do artificial intelligence-based radiology tools designed for adults perform when applied to paediatric imaging without additional adaptation? Findings Adult-trained AI models consistently demonstrated reduced performance in children, particularly in those under 2 years, with detection tasks showing the most severe deterioration. Clinical relevance Healthcare professionals should not assume that adult-trained radiology AI tools intended for adult use can be directly applied to the paediatric population without validation, additional training or fine-tuning, particularly for the youngest age groups.
Authors
- Lene Bjerke Laborie (ORCID: https://orcid.org/0000-0002-9084-3639)
- Susan Cheng Shelmerdine
- Jennifer Lee
- Edward Antram
- Regina Küfner Lein
Institutions
- St George's, University of London (GB)
- Great Ormond Street Hospital (GB)
- Haukeland University Hospital (NO)
- St George's Hospital (GB)
- City St George's, University of London (GB)
- University of Bergen (NO)
- University College London (GB)
Publication Details
- Journal
- European Radiology
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1007/s00330-026-12354-5
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 17.70