Much of the knowledge and information needed for enabling high-quality clinical research is
stored in free-text format. Natural language processing (NLP) has been used to extract …

Introduction The coronavirus disease 2019 (COVID-19) pandemic have significantly affected
health care systems and daily wellbeing. However, the indirect impacts of the pandemic on …

Background With the progress of assisted reproductive technology (ART) and the increasing
number of ART pregnancy, its safety has become the focus of attention. The present study …

Background The activation degree of the orbitofrontal cortex (OFC) functional area in drug
abusers is directly related to the craving for drugs and the tolerance to punishment …

Recent efforts in clinical natural language processing research have focused on mining
social media data and other user-generated data relevant to COVID-19. An increasing …

Electronic health records include information on patients' status and medical history, which
could cover the history of diseases and disorders that could be hereditary. One important …

Low-rank adapters (LoRA) and their variants are popular parameter-efficient fine-tuning
(PEFT) techniques that closely match full model fine-tune performance while requiring only a …

Abstract Purpose Electronic Health Records (EHRs) are invaluable sources of information
for healthcare research and decision-making. However, laws protecting patient privacy …

Objectives: Analyze the content of publications within the medical natural language
processing (NLP) domain in 2021. Methods: Automatic and manual preselection of …

Etter hvert som helsetjenestene blir digitalisert, endrer pasientjournalens funksjon seg fra
hovedsakelig å være en intern dokumentasjon i det enkelte sykehus eller legesenter, til å bli …