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Journal of biomedical informatics
Nov 30, 2024
In this study, we revisit named entity recognition (NER) in the biomedical domain from a multimodal perspective, with a particular focus on applications in low-resource languages. Existing research primarily relies on unimodal methods for NER, which ...
Neural networks : the official journal of the International Neural Network Society
Nov 29, 2024
Social media platforms, rich in user-generated content, offer a unique perspective on public opinion, making stance detection an essential task in opinion mining. However, traditional deep neural networks for stance detection often suffer from limita...
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Nov 29, 2024
BACKGROUND: Previous studies evaluated the ability of large language models (LLMs) in medical disciplines; however, few have focused on image analysis, and none specifically on cardiovascular imaging or nuclear cardiology. This study assesses four LL...
Academic medicine : journal of the Association of American Medical Colleges
Nov 29, 2024
Large Language Models (LLMs) are a type of generative artificial intelligence (AI) that produce realistic-sounding language in response to text prompts, giving AI the capability to simulate human discourse in various domains, including medical educat...
Applied clinical informatics
Nov 28, 2024
BACKGROUND: Large language models (LLMs) have shown promise in various professional fields, including medicine and law. However, their performance in highly specialized tasks, such as extracting ICD-10-CM codes from patient notes, remains underexplo...
IEEE transactions on visualization and computer graphics
Nov 25, 2024
Large Language Models (LLMs) have been adopted for a variety of visualizations tasks, but how far are we from perceptually aware LLMs that can predict human takeaways? Graphical perception literature has shown that human chart takeaways are sensitive...
IEEE transactions on visualization and computer graphics
Nov 25, 2024
Large Language Models (LLMs) are powerful but also raise significant security concerns, particularly regarding the harm they can cause, such as generating fake news that manipulates public opinion on social media and providing responses to unethical ...
Scientific reports
Nov 23, 2024
The advent of the Transformer has significantly altered the course of research in Natural Language Processing (NLP) within the domain of deep learning, making Transformer-based studies the mainstream in subsequent NLP research. There has also been co...
BMC medical informatics and decision making
Nov 22, 2024
BACKGROUND: There are numerous papers focusing on diagnosing mental health disorders using unimodal and multimodal approaches. However, our literature review shows that the majority of these studies either use unimodal approaches to diagnose a variet...
Clinical anatomy (New York, N.Y.)
Nov 21, 2024
The increasing application of generative artificial intelligence large language models (LLMs) in various fields, including medical education, raises questions about their accuracy. The primary aim of our study was to undertake a detailed comparative ...