AIMC Topic: Natural Language Processing

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Empowering large language models for automated clinical assessment with generation-augmented retrieval and hierarchical chain-of-thought.

Artificial intelligence in medicine Feb 12, 2025
BACKGROUND: Understanding and extracting valuable information from electronic health records (EHRs) is important for improving healthcare delivery and health outcomes. Large language models (LLMs) have demonstrated significant proficiency in natural ...
Large Language Models Stroke Electronic Health Records Knowledge Bases Humans Natural Language Processing
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Neuradicon: Operational representation learning of neuroimaging reports.

Computer methods and programs in biomedicine Feb 12, 2025
BACKGROUND AND OBJECTIVE: Radiological reports typically summarize the content and interpretation of imaging studies in unstructured form that precludes quantitative analysis. This limits the monitoring of radiological services to throughput undiffer...
Natural Language Processing Neuroimaging Machine Learning Algorithms Humans
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Natural language processing techniques applied to the electronic health record in clinical research and practice - an introduction to methodologies.

Computers in biology and medicine Feb 12, 2025
Natural Language Processing (NLP) has the potential to revolutionise clinical research utilising Electronic Health Records (EHR) through the automated analysis of unstructured free text. Despite this potential, relatively few applications have entere...
Humans Neural Networks, Computer Electronic Health Records Biomedical Research Natural Language Processing
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Using Natural Language Processing Methods to Predict Topics Included in 2019 Ohio Syphilis Disease Intervention Specialist Records.

Sexually transmitted diseases Feb 11, 2025
BACKGROUND: Free-text notes in disease intervention specialist (DIS) records may contain relevant information for sexual transmitted infection control. In their current form, the notes are not analyzable without manual reading, which is labor-intensi...
Humans Machine Learning Syphilis Ohio Electronic Health Records Natural Language Processing
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[Transformation of free-text radiology reports into structured data].

Radiologie (Heidelberg, Germany) Feb 11, 2025
BACKGROUND: The rapid development of large language models (LLMs) opens up new possibilities for the automated processing of medical texts. Transforming unstructured radiology reports into structured data is crucial for efficient use in clinical deci...
Natural Language Processing Radiology Information Systems Machine Learning Deep Learning Humans Neural Networks, Computer
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Cost-Efficient Domain-Adaptive Pretraining of Language Models for Optoelectronics Applications.

Journal of chemical information and modeling Feb 11, 2025
Pretrained language models have demonstrated strong capability and versatility in natural language processing (NLP) tasks, and they have important applications in optoelectronics research, such as data mining and topic modeling. Many language models ...
Data Mining Cost-Benefit Analysis Natural Language Processing Electronics
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Developing an ICD-10 Coding Assistant: Pilot Study Using RoBERTa and GPT-4 for Term Extraction and Description-Based Code Selection.

JMIR formative research Feb 11, 2025
BACKGROUND: The International Classification of Diseases (ICD), developed by the World Health Organization, standardizes health condition coding to support health care policy, research, and billing, but artificial intelligence automation, while promi...
Natural Language Processing International Classification of Diseases Spain Artificial Intelligence Clinical Coding Humans Pilot Projects
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RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS).

IEEE journal of biomedical and health informatics Feb 10, 2025
Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant mortality and morbidity among critically ill patients admitted to the Intensive Care Unit (ICU). The etiology related to ARDS can be highly heterogen...
Natural Language Processing Aged Electronic Health Records Middle Aged Female Humans Male Respiratory Distress Syndrome Algorithms
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Partial Annotation Learning for Biomedical Entity Recognition.

IEEE journal of biomedical and health informatics Feb 10, 2025
Named Entity Recognition (NER) is a key task to support biomedical research. In Biomedical Named Entity Recognition (BioNER), obtaining high-quality expert annotated data is laborious and expensive, leading to the development of automatic approaches ...
Humans Machine Learning Natural Language Processing Data Mining Data Curation Databases, Factual Biomedical Research
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Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media.

Journal of biomedical informatics Feb 7, 2025
OBJECTIVE: Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for monitoring and analyzing the safety profiles of immunizations, identifying potential risks and ensuring the safe use of these products. Traditional dee...
Adverse Drug Reaction Reporting Systems Large Language Models COVID-19 Vaccines Social Media SARS-CoV-2 Humans Natural Language Processing Deep Learning Data Mining COVID-19
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