AIMC Topic: Natural Language Processing

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Understanding natural language: Potential application of large language models to ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jul 25, 2024
Large language models (LLMs), a natural language processing technology based on deep learning, are currently in the spotlight. These models closely mimic natural language comprehension and generation. Their evolution has undergone several waves of in...
Deep Learning Natural Language Processing Neural Networks, Computer Artificial Intelligence Humans Ophthalmology
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Natural Language Processing in medicine and ophthalmology: A review for the 21st-century clinician.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jul 25, 2024
Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language, enabling computers to understand, generate, and derive meaning from human language. NLP's potential appli...
Ophthalmology Artificial Intelligence Humans Electronic Health Records Natural Language Processing
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[Large language models in science].

Urologie (Heidelberg, Germany) Jul 24, 2024
OBJECTIVE: Large language models (LLMs) are gaining popularity due to their ability to communicate in a human-like manner. Their potential for science, including urology, is increasingly recognized. However, unresolved concerns regarding transparency...
Humans Machine Learning Language Science Natural Language Processing Urology
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A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish.

BMC medical informatics and decision making Jul 24, 2024
Despite the high creation cost, annotated corpora are indispensable for robust natural language processing systems. In the clinical field, in addition to annotating medical entities, corpus creators must also remove personally identifiable informatio...
Spain Natural Language Processing Humans Narration Occupational Health
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Leveraging shortest dependency paths in low-resource biomedical relation extraction.

BMC medical informatics and decision making Jul 24, 2024
BACKGROUND: Biomedical Relation Extraction (RE) is essential for uncovering complex relationships between biomedical entities within text. However, training RE classifiers is challenging in low-resource biomedical applications with few labeled exampl...
Data Mining Machine Learning Natural Language Processing Humans
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Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data.

BMC psychiatry Jul 24, 2024
BACKGROUND: Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to th...
Surveys and Questionnaires Natural Language Processing Male Middle Aged United Kingdom Semantics Humans Adult Mental Health Female
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Online content on eating disorders: a natural language processing study.

Journal of communication in healthcare Jul 23, 2024
BACKGROUND: Online content can inform the personal risk of developing an eating disorder, and it can influence the time and motivation to seek treatment. Patients routinely seek information online, and access to information is crucial for both preven...
Language Natural Language Processing Humans Comprehension Consumer Health Information Feeding and Eating Disorders Italy Internet
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From Web to RheumaLpack: Creating a Linguistic Corpus for Exploitation and Knowledge Discovery in Rheumatology.

Computers in biology and medicine Jul 23, 2024
This study introduces RheumaLinguisticpack (RheumaLpack), the first specialised linguistic web corpus designed for the field of musculoskeletal disorders. By combining web mining (i.e., web scraping) and natural language processing (NLP) techniques, ...
Natural Language Processing Knowledge Discovery Internet Musculoskeletal Diseases Rheumatology Data Mining Humans
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Robust visual question answering via polarity enhancement and contrast.

Neural networks : the official journal of the International Neural Network Society Jul 20, 2024
The Visual Question Answering (VQA) task is an important research direction in the field of artificial intelligence, which requires a model that can simultaneously understand visual images and natural language questions, and answer questions related ...
Language Artificial Intelligence Humans Natural Language Processing Algorithms Visual Perception Attention Neural Networks, Computer
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Comparative evaluation of image-based vs. text-based vs. multimodal AI approaches for automatic breast density assessment in mammograms.

Computer methods and programs in biomedicine Jul 20, 2024
BACKGROUND AND OBJECTIVES: In the last decade, there has been a growing interest in applying artificial intelligence (AI) systems to breast cancer assessment, including breast density evaluation. However, few models have been developed to integrate t...
Algorithms Female Breast Density Image Processing, Computer-Assisted Breast Natural Language Processing Artificial Intelligence Reproducibility of Results Mammography Software Datasets as Topic Radiographic Image Interpretation, Computer-Assisted Humans
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