AIMC Topic: Large Language Models

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Detecting Adverse Drug Events in Clinical Notes Using Large Language Models.

Studies in health technology and informatics May 15, 2025
Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However, identifying ADEs remains challenging, as suspected or confirmed side effects are often documented solely in the unstructured text of electronic healt...
Adverse Drug Reaction Reporting Systems Large Language Models Electronic Health Records Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining Pharmacovigilance Humans
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Delirium Identification from Nursing Reports Using Large Language Models.

Studies in health technology and informatics May 15, 2025
This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Using a manually labelled dataset from the University Hospital Freiburg, Germany, we tested Llama3 and P...
Humans Electronic Health Records Reproducibility of Results Delirium Data Mining Germany Sensitivity and Specificity Diagnosis, Computer-Assisted Natural Language Processing Nursing Diagnosis Large Language Models Nursing Records
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Exploring Zero-Shot Cross-Lingual Biomedical Concept Normalization via Large Language Models.

Studies in health technology and informatics May 15, 2025
Over the past few years, discriminative and generative large language models (LLMs) have emerged as the predominant approaches in natural language processing. However, despite significant advancements, there remains a gap in comparing the performance...
Multilingualism Large Language Models Humans Natural Language Processing
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Leveraging Large Language Models for Synthetic Data Generation to Enhance Adverse Drug Event Detection in Tweets.

Studies in health technology and informatics May 15, 2025
Adverse drug event (ADE) detection in social media texts poses significant challenges due to the informal nature of the text and the limited availability of annotations. The scarcity of ADE named entity recognition (NER) datasets for social media hin...
Large Language Models Humans Data Mining Adverse Drug Reaction Reporting Systems Social Media Natural Language Processing Drug-Related Side Effects and Adverse Reactions
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Fine-Tuning an Existing Large Language Model with Knowledge from the Medical Expert System Hepaxpert.

Studies in health technology and informatics May 15, 2025
The analysis and individual interpretation of hepatitis serology test results is a complex task in laboratory medicine, requiring either experienced physicians or specialized expert systems. This study explores fine-tuning a large language model (LLM...
Humans Algorithms Expert Systems Computer Graphics Large Language Models Diagnosis, Computer-Assisted Natural Language Processing Programming Languages
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Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model.

Radiation oncology (London, England) May 15, 2025
BACKGROUND: Radiotherapy treatment planning traditionally involves complex and time-consuming processes, often relying on trial-and-error methods. The emergence of artificial intelligence, particularly Large Language Models (LLMs), surpassing human c...
Radiotherapy, Intensity-Modulated Humans Large Language Models Artificial Intelligence Algorithms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Female Uterine Cervical Neoplasms Feasibility Studies
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End-to-end Chinese clinical event extraction based on large language model.

Scientific reports May 15, 2025
Clinical event extraction is crucial for structuring medical data, supporting clinical decision-making, and enabling other intelligent healthcare services. Traditional approaches for clinical event extraction often use pipeline-based methods to ident...
Language China East Asian People Natural Language Processing Data Mining Humans Algorithms Clinical Decision-Making Large Language Models
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Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models.

JMIR medical informatics May 15, 2025
BACKGROUND: Research on chronic multimorbidity has increasingly become a focal point with the aging of the population. Many studies in this area require detailed patient characteristic information. However, the current methods for extracting such inf...
Large Language Models Multimorbidity Aged Natural Language Processing Male Data Mining Middle Aged Comorbidity China Electronic Health Records Chronic Disease Language Humans Female
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Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review.

Journal of medical Internet research May 15, 2025
BACKGROUND: Information overload in electronic health records requires effective solutions to alleviate clinicians' administrative tasks. Automatically summarizing clinical text has gained significant attention with the rise of large language models....
Natural Language Processing Humans Large Language Models Electronic Health Records Language
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Breaking Digital Health Barriers Through a Large Language Model-Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study.

Journal of medical Internet research May 15, 2025
BACKGROUND: The integration of diverse clinical data sources requires standardization through models such as Observational Medical Outcomes Partnership (OMOP). However, mapping data elements to OMOP concepts demands significant technical expertise an...
Semantics Large Language Models Electronic Health Records Humans United States Digital Health Outcome Assessment, Health Care
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