Trends and Trajectories in the Rise of Large Language Models in Radiology: Scoping Review
LLMs show strong potential for augmenting radiological workflows, particularly for structured reporting, summarization, and educational tasks. However, their diagnostic performance remains inconsistent, and current implementations lack robust external validation. Future work should prioritize prospective, multicenter validation of domain-adapted and multimodal models to support safe clinical integration.
Authors
- Adhari AlZaabi (ORCID: https://orcid.org/0000-0003-4290-1272)
- Syaheerah Lebai Lutfi (ORCID: https://orcid.org/0000-0001-7349-0061)
- Rashid Al-Shibli (ORCID: https://orcid.org/0009-0008-9317-1314)
- Abdullah Mones Alamri (ORCID: https://orcid.org/0000-0009-0103-1773)
- Ibrahim AlRuheili (ORCID: https://orcid.org/0009-0007-5851-5591)
Institutions
- Sultan Qaboos University (OM)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-12-09
- DOI
- https://doi.org/10.2196/78041
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31