Utility of OpenEvidence and ChatGPT in Selecting Neuroimaging Based on Appropriateness Criteria.
RATIONALE AND OBJECTIVES: Large Language models (LLMs) are novel tools with promising applications in imaging selection for clinical scenarios, but information is limited on the accuracy of an LLM trained on a medically specific dataset compared to a generalized dataset. Amongst the models, no differences were found based on acuity.
RATIONALE AND OBJECTIVES: Large Language models (LLMs) are novel tools with promising applications in imaging selection for clinical scenarios, but information is limited on the accuracy of an LLM trained on a medically specific dataset compared to a generalized dataset. Amongst the models, no differences were found based on acuity.
What the study was
- Study design
- Journal Article
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Academic radiology
Why it surfaced
Score 6/10: Journal Article, human study, Exploratory. ⬜ NONE — Standard addition
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