AIMC Topic: Information Storage and Retrieval

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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.

Journal of medical Internet research Jan 6, 2025
BACKGROUND: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to th...
Information Storage and Retrieval Proof of Concept Study Humans Social Media Natural Language Processing
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StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

BMJ open Dec 26, 2024
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstet...
Predictive Learning Models Delivery, Obstetric Multilevel Analysis Hospitals, Public Routinely Collected Health Data New South Wales Risk Assessment Incidence Information Storage and Retrieval Logistic Models Observational Studies as Topic Pregnancy Outcome Propensity Score Retrospective Studies Pregnancy Female Diabetes, Gestational Humans Glucose Tolerance Test Research Design
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Improving search strategies in bibliometric studies on machine learning in renal medicine.

International urology and nephrology Dec 23, 2024
This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learning in renal medicine. Although the study claims to summarize the forefront trends and hotspots in this field, several key issues require further clarif...
Machine Learning Bibliometrics Nephrology Humans Information Storage and Retrieval
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Evaluation of RMES, an Automated Software Tool Utilizing AI, for Literature Screening with Reference to Published Systematic Reviews as Case-Studies: Development and Usability Study.

JMIR formative research Dec 9, 2024
BACKGROUND: Systematic reviews and meta-analyses are important to evidence-based medicine, but the information retrieval and literature screening procedures are burdensome tasks. Rapid Medical Evidence Synthesis (RMES; Deloitte Tohmatsu Risk Advisory...
Software Systematic Reviews as Topic Information Storage and Retrieval Artificial Intelligence Evidence-Based Medicine
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PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Nov 24, 2024
AIM: The aim of this study was to evaluate and compare artificial intelligence (AI)-based large language models (LLMs) (ChatGPT-3.5, Bing, and Bard) with human-based formulations in generating relevant clinical queries, using comprehensive methodolog...
Information Storage and Retrieval Humans Automation Artificial Intelligence
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A dynamic authorizable ciphertext image retrieval algorithm based on security neural network inference.

PloS one Oct 23, 2024
In this paper, we propose a dynamic authorizable ciphertext image retrieval scheme based on secure neural network inference that effectively enhances the security of image retrieval while preserving privacy. To ensure the privacy of the original imag...
Information Storage and Retrieval Computer Security Cloud Computing Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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Perspectives and experiences of health sciences academics regarding ChatGPT: A qualitative study.

Medical teacher Oct 11, 2024
PURPOSE: This study aimed to explore the perspectives and experiences of healthcare academics regarding the impact of ChatGPT, an artificial intelligence (AI)-supported language model, on education and research.
Qualitative Research Interviews as Topic Generative Artificial Intelligence Male Students Female Universities Turkey Adult Information Storage and Retrieval Access to Information Humans Faculty
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Learning to match patients to clinical trials using large language models.

Journal of biomedical informatics Oct 9, 2024
OBJECTIVE: This study investigates the use of Large Language Models (LLMs) for matching patients to clinical trials (CTs) within an information retrieval pipeline. Our objective is to enhance the process of patient-trial matching by leveraging the se...
Natural Language Processing Patient Selection Semantics Information Storage and Retrieval Clinical Trials as Topic Humans Algorithms
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Boosting cross-modal retrieval in remote sensing via a novel unified attention network.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2024
With the rapid advent and abundance of remote sensing data in different modalities, cross-modal retrieval tasks have gained importance in the research community. Cross-modal retrieval belongs to the research paradigm in which the query is of one moda...
Neural Networks, Computer Information Storage and Retrieval Algorithms Remote Sensing Technology Humans Image Processing, Computer-Assisted Attention
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Optimizing biomedical information retrieval with a keyword frequency-driven prompt enhancement strategy.

BMC bioinformatics Aug 27, 2024
BACKGROUND: Mining the vast pool of biomedical literature to extract accurate responses and relevant references is challenging due to the domain's interdisciplinary nature, specialized jargon, and continuous evolution. Early natural language processi...
Natural Language Processing Information Storage and Retrieval Data Mining
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