AIMC Topic: Natural Language Processing
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Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl.
Artificial intelligence in medicine
May 23, 2025
Electronic Health Records (EHRs) contain written notes by all kinds of medical professionals about all aspects of well-being of a patient. When adequately processed with a Large Language Model (LLM), this enormous source of information can be analyze...
Utilizing natural language processing to improve abdominal aortic aneurysm surveillance.
Journal of vascular surgery
May 23, 2025
BACKGROUND: Screening and surveillance are essential to prevent aneurysm rupture. We used natural language processing (NLP) software to evaluate efficacy of aneurysm surveillance.
Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse.
Journal of medical Internet research
May 15, 2025
BACKGROUND: Patients with end-stage kidney disease undergoing dialysis face significant physical, psychological, and social challenges that impact their quality of life. Social media platforms such as X (formerly known as Twitter) have become importa...
Using Large Language Models for Advanced and Flexible Labelling of Protocol Deviations in Clinical Development.
Therapeutic innovation & regulatory science
May 13, 2025
BACKGROUND: As described in ICH E3 Q&A R1 (International Council for Harmonisation. E3: Structure and content of clinical study reports-questions and answers (R1). 6 July 2012. Available from: https://database.ich.org/sites/default/files/E3_Q%26As_R1...
Learning Emotion Category Representation to Detect Emotion Relations Across Languages.
IEEE transactions on pattern analysis and machine intelligence
May 7, 2025
Understanding human emotions is crucial for a myriad of applications, from psychological research to advancements in Natural Language Processing (NLP). Traditionally, emotions are categorized into distinct basic groups, which has led to the developme...
Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data.
PLoS computational biology
May 7, 2025
We use open source human gut microbiome data to learn a microbial "language" model by adapting techniques from Natural Language Processing (NLP). Our microbial "language" model is trained in a self-supervised fashion (i.e., without additional externa...
Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning.
Journal of biomedical semantics
May 6, 2025
PURPOSE: Online consumer health forums offer an alternative source of health-related information for internet users seeking specific details that may not be readily available through articles or other one-way communication channels. However, the effe...
A Dataset of Real and Synthetic Speech in Ukrainian.
Scientific data
May 6, 2025
This work is dedicated to the analysis and evaluation of the DRSSU dataset: A Dataset of Real and Synthetic Speech in Ukrainian, created to support research in the field of natural language processing and speech recognition. The dataset contains a un...
Assessing autobiographical memory consistency: Machine and human approaches.
Behavior research methods
May 6, 2025
Memory is far from a stable representation of what we have encountered. Over time, we can forget, modify, and distort the details of our experiences. How autobiographical memory-the memories we have for our personal past-changes has important ramific...
MedFILIP: Medical Fine-Grained Language-Image Pre-Training.
IEEE journal of biomedical and health informatics
May 6, 2025
Medical vision-language pretraining (VLP) that leverages naturally-paired medical image-report data is crucial for medical image analysis. However, existing methods struggle to accurately characterize associations between images and diseases, leading...
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