AIMC Topic: PubMed

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Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023).

Journal of medical Internet research Mar 21, 2025
BACKGROUND: Despite the rapid growth of research in artificial intelligence/machine learning (AI/ML), little is known about how often study results are disclosed years after study completion.
Humans Artificial Intelligence Delivery of Health Care PubMed Clinical Trials as Topic Disclosure Machine Learning
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Transformer-Based Tool for Automated Fact-Checking of Online Health Information: Development Study.

JMIR infodemiology Feb 21, 2025
BACKGROUND: Many people seek health-related information online. The significance of reliable information became particularly evident due to the potential dangers of misinformation. Therefore, discerning true and reliable information from false inform...
PubMed Consumer Health Information Humans Natural Language Processing Internet Pilot Projects
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Evaluating the Efficacy of Perplexity Scores in Distinguishing AI-Generated and Human-Written Abstracts.

Academic radiology Feb 5, 2025
RATIONALE AND OBJECTIVES: We aimed to evaluate the efficacy of perplexity scores in distinguishing between human-written and AI-generated radiology abstracts and to assess the relative performance of available AI detection tools in detecting AI-gener...
Abstracting and Indexing Natural Language Processing Humans PubMed Artificial Intelligence
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Annotated corpus for traditional formula-disease relationships in biomedical articles.

Scientific data Jan 7, 2025
The Traditional Formula (TF), a combination of herbs prepared in accordance with traditional medicine principles, is increasingly garnering global attention as an alternative to modern medicine. Specifically, there is growing interest in exploring TF...
PubMed Humans Medicine, Traditional Natural Language Processing Disease
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Advancing pharmacogenomics research: automated extraction of insights from PubMed using SpaCy NLP framework.

Pharmacogenomics Nov 20, 2024
This paper presents a methodology for automatically extracting insights from PubMed articles using a Natural Language Processing (NLP) framework. Our approach, leveraging advanced NLP techniques and Named Entity Recognition (NER), is crucial for adva...
PubMed Data Mining Humans Pharmacogenetics Natural Language Processing
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KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories.

Biomolecules Nov 6, 2024
We present KnowVID-19, a knowledge-based system that assists medical researchers and scientists in extracting targeted information quickly and efficiently from online medical literature repositories, such as PubMed, PubMed Central, and other biomedic...
Machine Learning Software Humans PubMed Knowledge Bases Data Mining COVID-19 SARS-CoV-2
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Incorporating Generative AI to Promote Inquiry-Based Learning: Comparing Elicit AI Research Assistant to PubMed and CINAHL Complete.

Medical reference services quarterly Nov 4, 2024
Generative artificial intelligence (GenAI) is transforming education, and faculty can either incorporate GenAI in intentional course design to promote inquiry-based learning (IBL) or resist its use. This study identified an effective strategy to inte...
Education, Nursing, Graduate Male Students, Nursing PubMed Curriculum Female Adult Humans Artificial Intelligence
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Automated Mass Extraction of Over 680,000 PICOs from Clinical Study Abstracts Using Generative AI: A Proof-of-Concept Study.

Pharmaceutical medicine Sep 26, 2024
BACKGROUND: Generative artificial intelligence (GenAI) shows promise in automating key tasks involved in conducting systematic literature reviews (SLRs), including screening, bias assessment and data extraction. This potential automation is increasin...
Humans PubMed Artificial Intelligence Technology Assessment, Biomedical Abstracting and Indexing Proof of Concept Study Randomized Controlled Trials as Topic Systematic Reviews as Topic
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An exploration into CTEPH medications: Combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing.

PLoS computational biology Sep 12, 2024
BACKGROUND: In the modern era, the growth of scientific literature presents a daunting challenge for researchers to keep informed of advancements across multiple disciplines.
Humans Neural Networks, Computer Natural Language Processing Pulmonary Embolism Data Mining Hypertension, Pulmonary PubMed Chronic Disease Machine Learning Drug Repositioning Computational Biology
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Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph.

Journal of biomedical informatics Sep 10, 2024
OBJECTIVE: As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical Knowledge Graphs (KGs) cannot be manually updated in a timely manner. Previous work in Natural Language Processing (NLP) has leveraged link predictio...
PubMed Knowledge Bases Data Mining Algorithms Natural Language Processing Humans
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