AIMC Topic: Information Storage and Retrieval

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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction.

Scientific reports Jul 2, 2025
Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. Robust performance across varied datase...
Information Storage and Retrieval Neural Networks, Computer Algorithms Humans Deep Learning Image Processing, Computer-Assisted
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval.

PloS one Jul 2, 2025
Text classification plays an essential role in natural language processing and is commonly used in tasks like categorizing news, sentiment analysis, and retrieving relevant information. [0pc][-9pc]Please check and confirm the inserted city and countr...
Information Storage and Retrieval Particle Swarm Optimization Machine Learning Deep Learning Humans Natural Language Processing Algorithms
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Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation.

BMC medical research methodology May 10, 2025
BACKGROUND: Systematic reviews (SRs) are essential to formulate evidence-based guidelines but require time-consuming and costly literature screening. Large Language Models (LLMs) can be a powerful tool to expedite SRs.
Evidence-Based Medicine Systematic Reviews as Topic Humans Large Language Models Information Storage and Retrieval Language
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Entity replacement strategy for temporal knowledge graph query relaxation.

Neural networks : the official journal of the International Neural Network Society May 4, 2025
The temporal knowledge graph (TKG) query enables the retrieval of candidate answer lists by addressing questions that involve temporal constraints, regarded as a crucial downstream task in the realm of the temporal knowledge graph. Existing methods p...
Neural Networks, Computer Algorithms Humans Semantics Time Factors Information Storage and Retrieval
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Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study.

Journal of medical Internet research Apr 30, 2025
BACKGROUND: The COVID-19 pandemic has been accompanied by an "infodemic," where the rapid spread of misinformation has exacerbated public health challenges. Traditional fact-checking methods, though effective, are time-consuming and resource-intensiv...
Information Storage and Retrieval Large Language Models Humans Language COVID-19 SARS-CoV-2
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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study.

JMIR formative research Apr 7, 2025
BACKGROUND: Popularized by ChatGPT, large language models (LLMs) are poised to transform the scalability of clinical natural language processing (NLP) downstream tasks such as medical question answering (MQA) and automated data extraction from clinic...
Information Storage and Retrieval Large Language Models Natural Language Processing Data Mining Pathology, Surgical Humans Retrospective Studies Thyroid Neoplasms
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Using artificial intelligence tools to automate data extraction for living evidence syntheses.

PloS one Apr 3, 2025
Living evidence synthesis (LES) involves repeatedly updating a systematic review or meta-analysis at regular intervals to incorporate new evidence into the summary results. It requires a considerable amount of human time investment in the article sea...
COVID-19 SARS-CoV-2 Systematic Reviews as Topic Meta-Analysis as Topic Artificial Intelligence Software Humans Information Storage and Retrieval
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Revisiting medical image retrieval via knowledge consolidation.

Medical image analysis Mar 22, 2025
As artificial intelligence and digital medicine increasingly permeate healthcare systems, robust governance frameworks are essential to ensure ethical, secure, and effective implementation. In this context, medical image retrieval becomes a critical ...
Diagnostic Imaging Artificial Intelligence Information Storage and Retrieval Radiology Information Systems Humans Algorithms
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Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models.

Journal of medical Internet research Mar 19, 2025
BACKGROUND: Dietary supplements (DSs) are widely used to improve health and nutrition, but challenges related to misinformation, safety, and efficacy persist due to less stringent regulations compared with pharmaceuticals. Accurate and reliable DS in...
Information Storage and Retrieval Dietary Supplements Knowledge Bases Humans Databases, Factual
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Topicwise Separable Sentence Retrieval for Medical Report Generation.

IEEE transactions on medical imaging Mar 17, 2025
Automated radiology reporting holds immense clinical potential in alleviating the burdensome workload of radiologists and mitigating diagnostic bias. Recently, retrieval-based report generation methods have garnered increasing attention. These method...
Radiology Information Systems Natural Language Processing Information Storage and Retrieval Algorithms Databases, Factual Humans
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