AIMC Topic: Information Storage and Retrieval

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Structured hashing with deep learning for modality, organ, and disease content sensitive medical image retrieval.

Scientific reports Mar 14, 2025
Evidence-based medicine is the preferred procedure among clinicians for treating patients. Content-based medical image retrieval (CBMIR) is widely used to extract evidence from a large archive of medical images. Developing effective CBMIR systems for...
Information Storage and Retrieval Image Processing, Computer-Assisted Diagnostic Imaging Humans Databases, Factual Deep Learning Algorithms
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Automated structured data extraction from intraoperative echocardiography reports using large language models.

British journal of anaesthesia Mar 3, 2025
BACKGROUND: Consensus-based large language model (LLM) ensembles might provide an automated solution for extracting structured data from unstructured text in echocardiography reports.
Natural Language Processing Cardiac Surgical Procedures Information Storage and Retrieval Middle Aged Monitoring, Intraoperative Large Language Models Echocardiography, Transesophageal Aged Adult Male Echocardiography Cross-Sectional Studies Humans Female
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AI-driven evidence synthesis: data extraction of randomized controlled trials with large language models.

International journal of surgery (London, England) Mar 1, 2025
The advancement of large language models (LLMs) presents promising opportunities to enhance evidence synthesis efficiency, particularly in data extraction processes, yet existing prompts for data extraction remain limited, focusing primarily on commo...
Humans Artificial Intelligence Language Large Language Models Randomized Controlled Trials as Topic Information Storage and Retrieval
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Leveraging natural language processing for efficient information extraction from breast cancer pathology reports: Single-institution study.

PloS one Feb 18, 2025
BACKGROUND: Pathology reports provide important information for accurate diagnosis of cancer and optimal treatment decision making. In particular, breast cancer has known to be the most common cancer in women worldwide.
Humans Breast Neoplasms Natural Language Processing Female Information Storage and Retrieval
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The perception and use of generative AI for science-related information search: Insights from a cross-national study.

Public understanding of science (Bristol, England) Jan 31, 2025
Publicly accessible large language models like ChatGPT are emerging as novel information intermediaries, enabling easy access to a wide range of science-related information. This study presents survey data from seven countries ( = 4320) obtained in J...
Female Adult Male Humans Information Storage and Retrieval Middle Aged Information Seeking Behavior Artificial Intelligence Science Surveys and Questionnaires
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Scalable information extraction from free text electronic health records using large language models.

BMC medical research methodology Jan 28, 2025
BACKGROUND: A vast amount of potentially useful information such as description of patient symptoms, family, and social history is recorded as free-text notes in electronic health records (EHRs) but is difficult to reliably extract at scale, limiting...
Social Determinants of Health Large Language Models Humans Data Mining Cross-Sectional Studies Electronic Health Records Information Storage and Retrieval Language Natural Language Processing
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Empowering PET imaging reporting with retrieval-augmented large language models and reading reports database: a pilot single center study.

European journal of nuclear medicine and molecular imaging Jan 23, 2025
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language tasks in clinical fields includes medical imaging reporting. This pilot study examines the efficacy of a retrieval-augmented generation (RAG) LLM system...
Pilot Projects Natural Language Processing Information Storage and Retrieval Large Language Models Positron-Emission Tomography Humans Databases, Factual
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Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation.

BMJ health & care informatics Jan 19, 2025
OBJECTIVES: We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.
Data Mining Information Storage and Retrieval Large Language Models Humans Language Electronic Health Records Natural Language Processing
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ChatGPT and oral cancer: a study on informational reliability.

BMC oral health Jan 17, 2025
BACKGROUND: Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. ChatGPT, trained on diverse datasets, can provide medical advice but faces ethical and accuracy co...
Information Storage and Retrieval Humans Generative Artificial Intelligence Artificial Intelligence Internet Mouth Neoplasms Reproducibility of Results
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BiomedRAG: A retrieval augmented large language model for biomedicine.

Journal of biomedical informatics Jan 13, 2025
Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level, potential...
Humans Algorithms Large Language Models Data Mining Databases, Factual Information Storage and Retrieval Natural Language Processing Medical Informatics
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