A disease-agnostic framework using large pre-trained language models can extract computable clinical data from unstructured electronic health record text, according to a study published in Nature on Sept. 10, 2026.
Researchers presented a novel approach using large, pre-trained language models to accurately extract computable clinical data from unstructured text in electronic health records, according to a study published in Nature on Sept. 10, 2026.
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