[HTML][HTML] Clinical text summarization: Adapting large language models can outperform human experts
Sifting through vast textual data and summarizing key information from electronic health
records (EHR) imposes a substantial burden on how clinicians allocate their time. Although …
records (EHR) imposes a substantial burden on how clinicians allocate their time. Although …
Adapted large language models can outperform medical experts in clinical text summarization
Analyzing vast textual data and summarizing key information from electronic health records
imposes a substantial burden on how clinicians allocate their time. Although large language …
imposes a substantial burden on how clinicians allocate their time. Although large language …
RadAdapt: Radiology report summarization via lightweight domain adaptation of large language models
We systematically investigate lightweight strategies to adapt large language models (LLMs)
for the task of radiology report summarization (RRS). Specifically, we focus on domain …
for the task of radiology report summarization (RRS). Specifically, we focus on domain …
A survey on biomedical text summarization with pre-trained language model
The exponential growth of biomedical texts such as biomedical literature and electronic
health records (EHRs), provides a big challenge for clinicians and researchers to access …
health records (EHRs), provides a big challenge for clinicians and researchers to access …
SPeC: A soft prompt-based calibration on performance variability of large language model in clinical notes summarization
Electronic health records (EHRs) store an extensive array of patient information,
encompassing medical histories, diagnoses, treatments, and test outcomes. These records …
encompassing medical histories, diagnoses, treatments, and test outcomes. These records …
From softmax to nucleusmax: A novel sparse language model for chinese radiology report summarization
The Chinese radiology report summarization is a crucial component in smart healthcare that
employs language models to summarize key findings in radiology reports and communicate …
employs language models to summarize key findings in radiology reports and communicate …
A meta-evaluation of faithfulness metrics for long-form hospital-course summarization
Long-form clinical summarization of hospital admissions has real-world significance
because of its potential to help both clinicians and patients. The factual consistency of …
because of its potential to help both clinicians and patients. The factual consistency of …
[HTML][HTML] Text summarization in the biomedical domain: a systematic review of recent research
Objective The amount of information for clinicians and clinical researchers is growing
exponentially. Text summarization reduces information as an attempt to enable users to find …
exponentially. Text summarization reduces information as an attempt to enable users to find …
Evaluating large language models on medical evidence summarization
Recent advances in large language models (LLMs) have demonstrated remarkable
successes in zero-and few-shot performance on various downstream tasks, paving the way …
successes in zero-and few-shot performance on various downstream tasks, paving the way …
[HTML][HTML] What's in a summary? laying the groundwork for advances in hospital-course summarization
Summarization of clinical narratives is a long-standing research problem. Here, we
introduce the task of hospital-course summarization. Given the documentation authored …
introduce the task of hospital-course summarization. Given the documentation authored …