Mar 8, 2024 · We introduce a novel pre-processed dataset, the MIMIC-IV-BHC, encapsulating clinical note and brief hospital course (BHC) pairs to adapt LLMs for BHC synthesis.

Mar 8, 2024 · We present a new benchmark and pre-processed dataset for using LLMs in BHC synthesis from clinical notes. We observe high-quality summarization performance.

Aug 26, 2024 · This paper evaluates the performance of domain-adapted large language models (LLMs) in generating brief hospital course summaries.

PDF Model Code. A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries. A. Aali , D. Van Veen , Y.I. Arefeen , J ...

Adapted large language models can outperform medical experts in clinical text summarization. D Van Veen, C Van Uden, L Blankemeier, JB Delbrouck, A Aali, ...

(2024/03) A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries, Aali et al., 2024 [Paper]. Fact Checking.

To enable the adaptation of LLMs for BHC synthesis, we introduce a novel benchmark consisting of a pre-processed dataset extracted from MIMIC-IV ...

Oct 10, 2024 · This study used the dataset to train large language models (LLMs) to generate brief hospital course summaries from clinical notes, demonstrating ...

We observe that the Llama2-13B fine-tuned LLM outperforms other domain-adapted models given quantitative evaluation metrics of BLEU and BERT-Score. GPT-4 with ...

To enable the adaptation of LLMs for BHC synthesis, we introduce a novel benchmark consisting of a pre-processed dataset extracted from MIMIC-IV notes, ...