Participant recruitment based on unstructured medical texts such as clinical notes and
radiology reports has been a challenging yet important task for the cohort establishment in …

ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …

Recent advancements in large language models (LLMs) have led to the development of
highly potent models like OpenAI's ChatGPT. These models have exhibited exceptional …

Clinical natural language processing faces challenges like complex medical terminology
and clinical contexts. Recently, large language models (LLMs) have shown promise in this …

Recent advances in deep learning and natural language processing (NLP) have opened
many new opportunities for automatic text understanding and text processing in the medical …

Although recent advances in scaling large language models (LLMs) have resulted in
improvements on many NLP tasks, it remains unclear whether these models trained …

The large language model called ChatGPT has drawn extensively attention because of its
human-like expression and reasoning abilities. In this study, we investigate the feasibility of …

Abstract Objective Large language models (LLMs) have shown impressive ability in
biomedical question-answering, but have not been adequately investigated for more specific …

Abstract While Large Language Models (LLMs) have showcased their potential in diverse
language tasks, their application in the healthcare arena needs to ensure the minimization …

The recent success of general-domain large language models (LLMs) has significantly
changed the natural language processing paradigm towards a unified foundation model …