In this paper, we introduce new resources and empirical investigations for the automatic summarization of doctor-patient conversations in a clinical setting.

May 2, 2023 · To the best of our knowledge, this study is the first attempt to introduce an open dataset of doctor-patient conversations and clinical notes, ...

This study is the first attempt to introduce an open dataset of doctor-patient conversations and clinical notes, with detailed automated and manual ...

May 1, 2023 · In this paper, we introduce new resources and empirical investigations for the automatic summarization of doctor-patient conversations in a clinical setting.

The dataset spans 10k samples with an average dialogue length of 187 utterances and 45 words in the summary. (Abacha, Yim, Fan, & Lin, ...

Publication item ; Title: An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters ; Description: EACL 2023 ; Year published: 2023.

The source code for the summarization of doctor-patient conversations and the automatic generation of clinical notes. Manual Scores for Correlation Study.

Aug 26, 2024 · In this paper, we present three key contributions to the field of clinical note generation using large language models (LLMs).

This work proposes an innovative, resource-efficient approach to synthetic clinical text generation using LLMs for clinical NLP tasks, ClinGen.

Aug 26, 2024 · The paper introduces CliniKnote, a comprehensive dataset for training and evaluating clinical note generation models using large language models (LLMs).