[HTML][HTML] A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng… - Information …, 2025 - Elsevier
The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning

JH Caufield, H Hegde, V Emonet, NL Harris… - …, 2024 - academic.oup.com
Motivation Creating knowledge bases and ontologies is a time consuming task that relies on
manual curation. AI/NLP approaches can assist expert curators in populating these …

BioELECTRA: pretrained biomedical text encoder using discriminators

KR Kanakarajan, B Kundumani… - Proceedings of the …, 2021 - aclanthology.org
Recent advancements in pretraining strategies in NLP have shown a significant
improvement in the performance of models on various text mining tasks. We apply 'replaced …

Information extraction from electronic medical documents: state of the art and future research directions

MY Landolsi, L Hlaoua, L Ben Romdhane - Knowledge and Information …, 2023 - Springer
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …

Gatortron: A large clinical language model to unlock patient information from unstructured electronic health records

X Yang, A Chen, N PourNejatian, HC Shin… - ar** artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …

A systematic review of transformer-based pre-trained language models through self-supervised learning

E Kotei, R Thirunavukarasu - Information, 2023 - mdpi.com
Transfer learning is a technique utilized in deep learning applications to transmit learned
inference to a different target domain. The approach is mainly to solve the problem of a few …

A sco** review of using large language models (LLMs) to investigate electronic health records (EHRs)

L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu… - arxiv preprint arxiv …, 2024 - arxiv.org
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …