AIMC Topic: Natural Language Processing

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Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction.

Journal of biomedical informatics Aug 28, 2024
BACKGROUND AND OBJECTIVE: Biomedical relation extraction aims to reveal the relation between entities in medical texts. Currently, the relation extraction models that have attracted much attention are mainly to fine-tune the pre-trained language mode...
Natural Language Processing Humans Neural Networks, Computer Data Mining Machine Learning Algorithms
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Interactive dual-stream contrastive learning for radiology report generation.

Journal of biomedical informatics Aug 28, 2024
Radiology report generation automates diagnostic narrative synthesis from medical imaging data. Current report generation methods primarily employ knowledge graphs for image enhancement, neglecting the interpretability and guiding function of the kno...
Humans Diagnostic Imaging Semantics Machine Learning Radiology Algorithms Radiology Information Systems Natural Language Processing
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AI generates covertly racist decisions about people based on their dialect.

Nature Aug 28, 2024
Hundreds of millions of people now interact with language models, with uses ranging from help with writing to informing hiring decisions. However, these language models are known to perpetuate systematic racial prejudices, making their judgements bia...
Artificial Intelligence Language Decision Making Natural Language Processing Black or African American Stereotyping Racism
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NLP-based ergonomics MSD risk root cause analysis and risk controls recommendation.

Ergonomics Aug 27, 2024
An ergonomics assessment of the physical risk factors in the workplace is instrumental in predicting and preventing musculoskeletal disorders (MSDs). Using Artificial Intelligence (AI) has become increasingly popular for ergonomics assessments becaus...
Risk Assessment Deep Learning Machine Learning Risk Factors Ergonomics Occupational Diseases Root Cause Analysis Natural Language Processing Musculoskeletal Diseases Humans
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CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced.

Artificial intelligence in medicine Aug 27, 2024
Medical Concept Normalization (MCN) is a crucial process for deep information extraction and natural language processing tasks, which plays a vital role in biomedical research. Although MCN in English has achieved significant research achievements, C...
Data Mining Semantics China Artificial Intelligence Natural Language Processing Deep Learning
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Toward an Explainable Large Language Model for the Automatic Identification of the Drug-Induced Liver Injury Literature.

Chemical research in toxicology Aug 27, 2024
Drug-induced liver injury (DILI) stands as a significant concern in drug safety, representing the primary cause of acute liver failure. Identifying the scientific literature related to DILI is crucial for monitoring, investigating, and conducting met...
Humans Deep Learning Natural Language Processing Chemical and Drug Induced Liver Injury
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Advancing Chinese biomedical text mining with community challenges.

Journal of biomedical informatics Aug 27, 2024
OBJECTIVE: This study aims to review the recent advances in community challenges for biomedical text mining in China.
Natural Language Processing Data Mining Medical Informatics China
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Optimizing biomedical information retrieval with a keyword frequency-driven prompt enhancement strategy.

BMC bioinformatics Aug 27, 2024
BACKGROUND: Mining the vast pool of biomedical literature to extract accurate responses and relevant references is challenging due to the domain's interdisciplinary nature, specialized jargon, and continuous evolution. Early natural language processi...
Data Mining Information Storage and Retrieval Natural Language Processing
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The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports.

Journal of imaging informatics in medicine Aug 26, 2024
Early detection of patients with impending bone metastasis is crucial for prognosis improvement. This study aimed to investigate the feasibility of a fine-tuned, locally run large language model (LLM) in extracting patients with bone metastasis in un...
Humans Retrospective Studies Bone Neoplasms Male Natural Language Processing Large Language Models Female Middle Aged Aged
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Use of Natural Language Processing to Extract and Classify Papillary Thyroid Cancer Features From Surgical Pathology Reports.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Aug 26, 2024
BACKGROUND: We aim to use Natural Language Processing to automate the extraction and classification of thyroid cancer risk factors from pathology reports.
Pathology, Surgical Neoplasm Recurrence, Local Thyroid Cancer, Papillary Risk Factors Humans Thyroid Neoplasms Adult Natural Language Processing
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