Health Imaging December 18, 2024
Large language models could be the key to breaking the language barrier between patients and providers, new findings suggest.
Even without language barriers, radiology reports contain complex medical information that can be difficult for the average patient to understand. Translating these reports from an interpreting radiologist’s language to the one spoken by a patient is feasible, though the quality of these translations varies widely. With the growing demand for virtual care and an increasingly mobile population post-pandemic, the need for solutions to language barriers in medical settings is substantial.
The authors of a new paper in the journal Radiology suggest that large language models could provide a workaround for situations when human interpreters are unavailable.
“As human...
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