Multi-document summarization via deep learning techniques: A survey
Multi-document summarization (MDS) is an effective tool for information aggregation that
generates an informative and concise summary from a cluster of topic-related documents …
generates an informative and concise summary from a cluster of topic-related documents …
A survey on dialogue summarization: Recent advances and new frontiers
Dialogue summarization aims to condense the original dialogue into a shorter version
covering salient information, which is a crucial way to reduce dialogue data overload …
covering salient information, which is a crucial way to reduce dialogue data overload …
[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
DERA: enhancing large language model completions with dialog-enabled resolving agents
Large language models (LLMs) have emerged as valuable tools for many natural language
understanding tasks. In safety-critical applications such as healthcare, the utility of these …
understanding tasks. In safety-critical applications such as healthcare, the utility of these …
The digital scribe in clinical practice: a scoping review and research agenda
The number of clinician burnouts is increasing and has been linked to a high administrative
burden. Automatic speech recognition (ASR) and natural language processing (NLP) …
burden. Automatic speech recognition (ASR) and natural language processing (NLP) …
Human evaluation and correlation with automatic metrics in consultation note generation
In recent years, machine learning models have rapidly become better at generating clinical
consultation notes; yet, there is little work on how to properly evaluate the generated …
consultation notes; yet, there is little work on how to properly evaluate the generated …
Wanglab at mediqa-chat 2023: Clinical note generation from doctor-patient conversations using large language models
This paper describes our submission to the MEDIQA-Chat 2023 shared task for automatic
clinical note generation from doctor-patient conversations. We report results for two …
clinical note generation from doctor-patient conversations. We report results for two …
[PDF][PDF] Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations.
This paper presents the overview of the MEDIQA-Sum task at ImageCLEF 2023. MEDIQA-
Sum 2023 includes three subtasks, in which a doctor-patient dialogue source is given, and …
Sum 2023 includes three subtasks, in which a doctor-patient dialogue source is given, and …
An investigation of evaluation methods in automatic medical note generation
Recent studies on automatic note generation have shown that doctors can save significant
amounts of time when using automatic clinical note generation (Knoll et al., 2022) …
amounts of time when using automatic clinical note generation (Knoll et al., 2022) …
PriMock57: A dataset of primary care mock consultations
AP Korfiatis, F Moramarco, R Sarac… - arXiv preprint arXiv …, 2022 - arxiv.org
Recent advances in Automatic Speech Recognition (ASR) have made it possible to reliably
produce automatic transcripts of clinician-patient conversations. However, access to clinical …
produce automatic transcripts of clinician-patient conversations. However, access to clinical …