AIMC Topic: Natural Language Processing

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Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.

Veterinary and comparative oncology Dec 23, 2024
Integrating Artificial Intelligence (AI) through Natural Language Processing (NLP) can improve veterinary medical oncology clinical record analytics. Named Entity Recognition (NER), a critical component of NLP, can facilitate efficient data extractio...
Medical Oncology Veterinary Medicine Neoplasms Natural Language Processing Humans Artificial Intelligence Reproducibility of Results Animals
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Automated redaction of names in adverse event reports using transformer-based neural networks.

BMC medical informatics and decision making Dec 23, 2024
BACKGROUND: Automated recognition and redaction of personal identifiers in free text can enable organisations to share data while protecting privacy. This is important in the context of pharmacovigilance since relevant detailed information on the cli...
Adverse Drug Reaction Reporting Systems Natural Language Processing Pharmacovigilance United Kingdom Humans Neural Networks, Computer
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Understanding Daily Care Experience Preferences Across the Lifespan of Older Adults: Application of Natural Language Processing.

Western journal of nursing research Dec 21, 2024
INTRODUCTION: Older adults are a heterogeneous group, and their care experience preferences are likely to be diverse and individualized. Thus, the aim of this study was to identify categories of older adults' care experience preferences and to examin...
Natural Language Processing Patient Preference Male Middle Aged Qualitative Research Aged Aged, 80 and over Humans Algorithms Female
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Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.

BMC medical research methodology Dec 20, 2024
BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs such as isoniazid, poses a significant safety concern. Electronic medical records contain comprehensive clinical information and have gained increasing ...
Isoniazid Chemical and Drug Induced Liver Injury Case-Control Studies Humans Electronic Health Records Adult Antitubercular Agents Logistic Models Male Female Machine Learning Drug Interactions Natural Language Processing Middle Aged Retrospective Studies Drug-Related Side Effects and Adverse Reactions
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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study.

JMIR medical informatics Dec 20, 2024
BACKGROUND: Traditional rule-based natural language processing approaches in electronic health record systems are effective but are often time-consuming and prone to errors when handling unstructured data. This is primarily due to the substantial man...
Lung Neoplasms Natural Language Processing Neoplasm Staging Pathology, Surgical Humans Algorithms Electronic Health Records
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Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease.

JMIR formative research Dec 20, 2024
BACKGROUND: Ischemic heart disease is a leading cause of death globally with a disproportionate burden in low- and middle-income countries (LMICs). Natural language processing (NLP) allows for data enrichment in large datasets to facilitate key clini...
Humans Female Natural Language Processing Myocardial Infarction Male Hospitals, University Cardiovascular Diseases Pakistan Middle Aged Sex Factors Aged Adult
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Automated Identification of Breast Cancer Relapse in Computed Tomography Reports Using Natural Language Processing.

JCO clinical cancer informatics Dec 20, 2024
PURPOSE: Breast cancer relapses are rarely collected by cancer registries because of logistical and financial constraints. Hence, we investigated natural language processing (NLP), enhanced with state-of-the-art deep learning transformer tools and la...
Aged Adult Breast Neoplasms Tomography, X-Ray Computed Female Neoplasm Recurrence, Local Middle Aged Deep Learning Natural Language Processing Humans
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Clinical and research applications of natural language processing for heart failure.

Heart failure reviews Dec 19, 2024
Natural language processing (NLP) is a burgeoning field of machine learning/artificial intelligence that focuses on the computational processing of human language. Researchers and clinicians are using NLP methods to advance the field of medicine in g...
Humans Biomedical Research Natural Language Processing Heart Failure Artificial Intelligence Machine Learning Electronic Health Records
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OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization.

International journal of medical informatics Dec 18, 2024
BACKGROUND: Clinical Language Models (CLMs) possess the potential to reform traditional healthcare systems by aiding in clinical decision making and optimal resource utilization. They can enhance patient outcomes and help healthcare management throug...
Humans Algorithms Electronic Health Records Natural Language Processing
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How can language models assist with pharmaceuticals manufacturing deviations and investigations?

International journal of pharmaceutics Dec 18, 2024
Large Language Models (LLM) such as the Generative-Pretrained-Transformer (GPT) and Large-Language-Model-Meta-AI (LLaMA) have attracted much attention. There is strong evidence that these models perform remarkably well in various natural language pro...
Pharmaceutical Preparations Drug Industry Models, Theoretical Natural Language Processing Artificial Intelligence
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