The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …

We present Clinical Prediction with Large Language Models (CPLLM), a method that
involves fine-tuning a pre-trained Large Language Model (LLM) for predicting clinical …

Large Language Models (LLMs) have rapidly evolved from text-based systems to
multimodal platforms, significantly impacting various sectors including healthcare. This …

The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

Medical text generation aims to assist with administrative work and highlight salient
information to support decision-making. To reflect the specific requirements of medical text …

The lack of explainability in using relevant clinical knowledge hinders the adoption of
artificial intelligence-powered analysis of unstructured clinical dialogue. A wealth of relevant …

This paper provides a detailed examination of the advancements and applications of large
language models in the healthcare sector, with a particular emphasis on clinical …

Biomedical literature often uses complex language and inaccessible professional
terminologies. That is why simplification plays an important role in improving public health …

In the evaluation of medical text generation, it is essential to scrutinize each piece of
information and ensure the utmost accuracy of the evaluation. Existing evaluation metrics …