AE-GPT: using large language models to extract adverse events from surveillance reports-a use case with influenza vaccine adverse events
Though Vaccines are instrumental in global health, mitigating infectious diseases and
pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large …
pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large …
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization
Objectives Precise literature recommendation and summarization are crucial for biomedical
professionals. While the latest iteration of generative pretrained transformer (GPT) …
professionals. While the latest iteration of generative pretrained transformer (GPT) …
[HTML][HTML] Bibliometric analysis of natural language processing using CiteSpace and VOSviewer
X Chen, W Tian, H Fang - Natural Language Processing Journal, 2024 - Elsevier
Abstract Natural Language Processing (NLP) holds a pivotal position in the domains of
computer science and artificial intelligence (AI). Its focus is on exploring and develo** …
computer science and artificial intelligence (AI). Its focus is on exploring and develo** …
[HTML][HTML] Adverse events of COVID-19 vaccines in the United States: temporal and spatial analysis
Background: The COVID-19 pandemic, caused by SARS-CoV-2, has had a profound impact
worldwide, leading to widespread morbidity and mortality. Vaccination against COVID-19 is …
worldwide, leading to widespread morbidity and mortality. Vaccination against COVID-19 is …
Relation extraction using large language models: a case study on acupuncture point locations
Objective In acupuncture therapy, the accurate location of acupoints is essential for its
effectiveness. The advanced language understanding capabilities of large language models …
effectiveness. The advanced language understanding capabilities of large language models …
[HTML][HTML] Artificial intelligence and big data for pharmacovigilance and patient safety
Pharmacovigilance, the science of monitoring drug safety, plays a crucial role in identifying
and mitigating adverse drug reactions (ADRs). However, underreporting in …
and mitigating adverse drug reactions (ADRs). However, underreporting in …
Map** vaccine names in clinical trials to vaccine ontology using cascaded fine-tuned domain-specific language models
Background Vaccines have revolutionized public health by providing protection against
infectious diseases. They stimulate the immune system and generate memory cells to …
infectious diseases. They stimulate the immune system and generate memory cells to …
Improving tabular data extraction in scanned laboratory reports using deep learning models
Objective Medical laboratory testing is essential in healthcare, providing crucial data for
diagnosis and treatment. Nevertheless, patients' lab testing results are often transferred via …
diagnosis and treatment. Nevertheless, patients' lab testing results are often transferred via …
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records
Y Kawazoe, K Shimamoto, T Seki, M Tsuchiya… - npj Digital …, 2024 - nature.com
This study demonstrates that adverse events (AEs) extracted using natural language
processing (NLP) from clinical texts reflect the known frequencies of AEs associated with …
processing (NLP) from clinical texts reflect the known frequencies of AEs associated with …
VaxBot-HPV: a GPT-based chatbot for answering HPV vaccine-related questions
Abstract Objective Human Papillomavirus (HPV) vaccine is an effective measure to prevent
and control the diseases caused by HPV. However, widespread misinformation and vaccine …
and control the diseases caused by HPV. However, widespread misinformation and vaccine …