emporary LLMs categorise rheumatology referral urgency as well or better than published human triage systems, suggesting that LLM performance on this task may not require the most expensive models.
Before AI-assisted triage enters rheumatology referral pathways, systems should separate objective clinical evidence from interpretive framing, and urgency and psychological attribution should be treated as auditable safety signals.
Mahmud Omar, M. Naffaa, R. Agbareia et al.· Rheumatology· 0 citations
The VLM demonstrated reliable clinical interpretation and an acceptable safety profile, however its integration into clinical workflows for early recognition of physiological deterioration and patient acuity assessment requires further rigorous evaluation and comparison to currently used track-and-trigger systems and p...
I. Strechen, P. Krishnan, O. Kilickaya et al.· International Journal of Med...· 0 citations
Replacing a general purpose language model with an agentic retrieval augmented system over a curated clinical knowledge base substantially reduced the undertriage and dangerous miss rates.
S. Ravichandran, M. Romano, R. Corga da Silva et al.· medRxiv· 0 citations
This review will produce the first systematic synthesis and evidence map of AI-assisted referral triage across acute and specialist care pathways, characterising how the field defines and evaluates this task as well as what is currently known about prioritisation performance.
James Foley, Enda Hession, E. Umana et al.· PLoS ONE· 0 citations
Current LLMs demonstrated promising performance in prioritizing simulated ENT referrals specially head and neck carcinomas and their consistency suggests potential value as an adjunct to clinical decision making.
A. D. De Alwis, W. Weerakkody, U. R. R. Eranga et al.· Ceylon Journal of Otolaryngo...· 0 citations
A methodology is implemented for evaluating large language models on sequential triage, the task of predicting a triage acuity label from a growing prefix of a nurse-patient conversation, which shows that the label at every checkpoint is anchored on the chief complaint exchanges, and prompting interventions fail to lif...
Dipankar Srirag, Hao-Kai Zhao, Ashutosh Kumar et al.· 0 citations
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