Ammus: A survey of transformer-based pretrained models in natural language processing

KS Kalyan, A Rajasekharan, S Sangeetha - ar** artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …

[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 …

[HTML][HTML] AMMU: a survey of transformer-based biomedical pretrained language models

KS Kalyan, A Rajasekharan, S Sangeetha - Journal of biomedical …, 2022 - Elsevier
Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers …

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 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 …

[HTML][HTML] A review on Natural Language Processing Models for COVID-19 research

K Hall, V Chang, C Jayne - Healthcare Analytics, 2022 - Elsevier
This survey paper reviews Natural Language Processing Models and their use in COVID-19
research in two main areas. Firstly, a range of transformer-based biomedical pretrained …

[HTML][HTML] A new era in healthcare: The integration of artificial intelligence and microbial

D Huo, X Wang - Medicine in Novel Technology and Devices, 2024 - Elsevier
The convergence of artificial intelligence (AI) and microbial therapeutics offers promising
avenues for novel discoveries and therapeutic interventions. With the exponential growth of …

Precision information extraction for rare disease epidemiology at scale

WZ Kariampuzha, G Alyea, S Qu, J Sanjak… - Journal of translational …, 2023 - Springer
Abstract Background The United Nations recently made a call to address the challenges of
an estimated 300 million persons worldwide living with a rare disease through the collection …