AIMC Topic: Natural Language Processing
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Identification of hepatic steatosis among persons with and without HIV using natural language processing.
Hepatology communications
Jun 19, 2024
BACKGROUND: Steatotic liver disease (SLD) is a growing phenomenon, and our understanding of its determinants has been limited by our ability to identify it clinically. Natural language processing (NLP) can potentially identify hepatic steatosis syste...
Enabling CMF estimation in data-constrained scenarios: A semantic-encoding knowledge mining model.
Accident; analysis and prevention
Jun 18, 2024
Availability of more accurate Crash Modification Factors (CMFs) is crucial for evaluating the effectiveness of various road safety treatments and prioritizing infrastructure investment accordingly. While customized study for each countermeasure scena...
EHR coding with hybrid attention and features propagation on disease knowledge graph.
Artificial intelligence in medicine
Jun 18, 2024
And sentences associated with these attributes and relationships have been neglected. in this paper ►We propose an end-to-end model called Knowledge Graph Enhanced neural network (KGENet) to address the above shortcomings. specifically ►We first cons...
The Rosetta System: Lessons for rural Australian health care from successful implementation of a hospital-wide natural language processing system in metropolitan South Australia.
The Australian journal of rural health
Jun 18, 2024
Assessing inclusion and representativeness on digital platforms for health education: Evidence from YouTube.
Journal of biomedical informatics
Jun 15, 2024
BACKGROUND: Studies confirm that significant biases exist in online recommendation platforms, exacerbating pre-existing disparities and leading to less-than-optimal outcomes for underrepresented demographics. We study issues of bias in inclusion and ...
Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain.
Systematic reviews
Jun 15, 2024
BACKGROUND: Systematically screening published literature to determine the relevant publications to synthesize in a review is a time-consuming and difficult task. Large language models (LLMs) are an emerging technology with promising capabilities for...
Natural Language Processing-Driven Artificial Intelligence Models for the Diagnosis of Lumbar Disc Herniation with L5 and S1 Radiculopathy: A Preliminary Evaluation.
World neurosurgery
Jun 13, 2024
OBJECTIVE: To develop and validate natural language processing-driven artificial intelligence (AI) models for the diagnosis of lumbar disc herniation (LDH) with L5 and S1 radiculopathy using electronic health records (EHRs).
Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning.
Scientific reports
Jun 13, 2024
Sentiment analysis aims to classify text based on the opinion or mentality expressed in a situation, which can be positive, negative, or neutral. Therefore, in the world, a lot of opinions are available on various social media sites, which must be ga...
Text-to-video generative artificial intelligence: sora in neurosurgery.
Neurosurgical review
Jun 13, 2024
Artificial intelligence (AI) has increased in popularity in neurosurgery, with recent interest in generative AI algorithms such as the Large Language Model (LLM) ChatGPT. Sora, an innovation in generative AI, leverages natural language processing, de...
Exploring the Use of Natural Language Processing to Understand Emotions of Trainees and Faculty Regarding Entrustable Professional Activity Assessments.
Journal of graduate medical education
Jun 13, 2024
In medical education, artificial intelligence techniques such as natural language processing (NLP) are starting to be used to capture and analyze emotions through written text. To explore the application of NLP techniques to understand resident and...
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