AIMC Topic: Information Storage and Retrieval

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Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2025
OBJECTIVES: This study aims to develop and evaluate an approach using large language models (LLMs) and a knowledge graph to triage patient messages that need emergency care. The goal is to notify patients when their messages indicate an emergency, gu...
Emergencies Triage Humans Patient Portals Information Storage and Retrieval Large Language Models Natural Language Processing Knowledge Bases
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Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2025
OBJECTIVES: Large language models (LLMs) have shown potential in biomedical applications, leading to efforts to fine-tune them on domain-specific data. However, the effectiveness of this approach remains unclear. This study aims to critically evaluat...
Information Storage and Retrieval Large Language Models Humans Natural Language Processing Data Mining
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Dual retrieving and ranking medical large language model with retrieval augmented generation.

Scientific reports May 24, 2025
Recent advancements in large language models (LLMs) have significantly enhanced text generation across various sectors; however, their medical application faces critical challenges regarding both accuracy and real-time responsiveness. To address thes...
Language Natural Language Processing Information Storage and Retrieval Large Language Models Humans Algorithms
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Extracting Pediatric Information from Summaries of Product Characterics with a Large Language Model and No-Code.

Studies in health technology and informatics May 15, 2025
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirO...
Large Language Models Data Mining Child Pediatrics Information Storage and Retrieval Natural Language Processing Humans Medication Errors Electronic Health Records
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Optimizing Automated KCD Coding: A Retrieval-Verification Approach.

Studies in health technology and informatics May 15, 2025
This study proposes a two-step Retrieval-Verification system for automating the assignment of Korean Standard Classification of Diseases (KCD) codes to free-text diagnoses. The system uses SapBERT-XLMR for initial retrieval, followed by Llama 3.1 for...
Natural Language Processing Information Storage and Retrieval Clinical Coding Humans Republic of Korea
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Transforming Data from a Commercial Hospital Information System into FHIR.

Studies in health technology and informatics May 15, 2025
The expanded use of hospital information systems in recent decades offers possibilities to use data collected in the clinical routine not only for individual patient care, but also for medical research. For this purpose, it is important use standardi...
Information Storage and Retrieval Medical Record Linkage Electronic Health Records Natural Language Processing Hospital Information Systems Software
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An Integrated AI Cloud Sharing Framework for Predictive AI and Generative AI in Healthcare.

Studies in health technology and informatics May 15, 2025
In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface web service, data retrieval web service, and AI web service. Numerous Predictive AI (PAI) applications were deployed successfully. By 2023, the hospital...
Humans Artificial Intelligence Information Storage and Retrieval Cloud Computing Delivery of Health Care Electronic Health Records
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Retrieval Augmented Generation: What Works and Lessons Learned.

Studies in health technology and informatics May 12, 2025
Retrieval Augmented Generation has been shown to improve the output of large language models (LLMs) by providing context to the question or scenario posed to the model. We have tried a series of experiments to understand how best to improve the perfo...
Natural Language Processing Information Storage and Retrieval Humans
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Large-scale information retrieval and correction of noisy pharmacogenomic datasets through residual thresholded deep matrix factorization.

Briefings in bioinformatics May 1, 2025
Pharmacogenomics studies are attracting an increasing amount of interest from researchers in precision medicine. The advances in high-throughput experiments and multiplexed approaches allow the large-scale quantification of drug sensitivities in mole...
Humans Algorithms Pharmacogenetics Cell Line, Tumor Neoplasms Deep Learning Computational Biology Information Storage and Retrieval
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Enhancing Large Language Models with Retrieval-Augmented Generation: A Radiology-Specific Approach.

Radiology. Artificial intelligence May 1, 2025
Retrieval-augmented generation (RAG) is a strategy to improve the performance of large language models (LLMs) by providing an LLM with an updated corpus of knowledge that can be used for answer generation in real time. RAG may improve LLM performance...
Radiology Information Storage and Retrieval Large Language Models Retrospective Studies Natural Language Processing Humans
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