AIMC Topic: Natural Language Processing

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Assessing large language models for acute heart failure classification and information extraction from French clinical notes.

Computers in biology and medicine Jun 19, 2025
Understanding acute heart failure (AHF) remains a significant challenge, as many clinical details are recorded in unstructured text rather than structured data in electronic health records (EHRs). In this study, we explored the use of large language ...
France Male Large Language Models Humans Natural Language Processing Acute Disease Electronic Health Records Heart Failure Female Data Mining
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The application of Generative Artificial Intelligence in mental health care: A bibliometric and visualized analysis.

Asian journal of psychiatry Jun 19, 2025
OBJECTIVE: Generative Artificial Intelligence (GAI) has emerged as a promising and innovative technological advancement that can increase access to mental health care services with its powerful natural language processing capabilities. Preliminary fi...
Bibliometrics Mental Health Services Natural Language Processing Humans Artificial Intelligence Generative Artificial Intelligence
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Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement.

Journal of biomedical informatics Jun 19, 2025
OBJECTIVE: Ontologies are essential for representing the knowledge of a domain. To make ontologies useful, they must encompass a comprehensive domain view. To achieve ontology enrichment, there is a need to discover new concepts to be added, either b...
Humans Language Natural Language Processing Semantics PubMed Biological Ontologies Large Language Models
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Text speaks louder: Insights into personality from natural language processing.

PloS one Jun 18, 2025
In recent years, advancements in natural language processing (NLP) have enabled new approaches to personality assessment. This article presents an interdisciplinary investigation that leverages explainable AI techniques, particularly Integrated Gradi...
Humans Personality Natural Language Processing Personality Assessment
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Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

JCO clinical cancer informatics Jun 13, 2025
PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stereotactic radiosurgery (SRS) from electronic health records is a critical but challenging task. Traditional methods of identifying the primary tumor his...
Natural Language Processing Radiosurgery Algorithms Electronic Health Records Neoplasms Humans
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Advancing Direct Tablet Compression with AI: A multi-task framework for quality control, batch acceptance, and causal analysis.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jun 11, 2025
Pharmaceutical manufacturing has surged in drug development with the rise of Pharma 4.0, leveraging artificial intelligence (AI) to improve efficiency, optimize resource use, and reduce production times. Direct Tablet Compression (DTC), a key manufac...
Neural Networks, Computer Artificial Intelligence Natural Language Processing Technology, Pharmaceutical Excipients Hardness Tablets Quality Control Drug Compounding
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Identification of neurological text markers associated with risk of stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 11, 2025
BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural language processing of notes from non-neurological emergency department (ED) encounters to identify text phrases indicating stroke presentations that...
Academic Medical Centers Stroke Data Mining Risk Assessment Time Factors Humans Aged, 80 and over Predictive Value of Tests Prognosis Male Retrospective Studies Natural Language Processing Middle Aged Electronic Health Records Risk Factors Emergency Service, Hospital Female Aged Reproducibility of Results
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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report.

Journal of medical Internet research Jun 11, 2025
BACKGROUND: The rapid advancements in natural language processing, particularly the development of large language models (LLMs), have opened new avenues for managing complex clinical text data. However, the inherent complexity and specificity of medi...
Natural Language Processing Lung Diseases Large Language Models Humans Tomography, X-Ray Computed Retrospective Studies Deep Learning Lung Neoplasms
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Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism.

PloS one Jun 11, 2025
Chinese Medical Named Entity Recognition (CMNER) seeks to identify and extract medical entities from unstructured medical texts. Existing methods often depend on single-modality representations and fail to fully exploit the complementary nature of di...
Natural Language Processing Humans Algorithms China East Asian People
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Evaluating large language models for information extraction from gastroscopy and colonoscopy reports through multi-strategy prompting.

Journal of biomedical informatics Jun 10, 2025
OBJECTIVE: To systematically evaluate large language models (LLMs) for automated information extraction from gastroscopy and colonoscopy reports through prompt engineering, addressing their ability to extract structured information, recognize complex...
Humans Machine Learning Natural Language Processing Information Storage and Retrieval Pattern Recognition, Automated Electronic Health Records Language Colonoscopy Gastroscopy Large Language Models
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