AIMC Topic: Evidence-Based Medicine

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Variable importance and prediction methods for longitudinal problems with missing variables.

PloS one Mar 27, 2015
We present prediction and variable importance (VIM) methods for longitudinal data sets containing continuous and binary exposures subject to missingness. We demonstrate the use of these methods for prognosis of medical outcomes of severe trauma patie...
Longitudinal Studies Trauma Centers Humans Predictive Value of Tests Evidence-Based Medicine Machine Learning Algorithms Wounds and Injuries Prognosis
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Robotic general surgery: current practice, evidence, and perspective.

Langenbeck's archives of surgery Feb 18, 2015
BACKGROUND: Robotic technology commenced to be adopted for the field of general surgery in the 1990s. Since then, the da Vinci surgical system (Intuitive Surgical Inc, Sunnyvale, CA, USA) has remained by far the most commonly used system in this doma...
Evidence-Based Medicine Surgery, Computer-Assisted General Surgery Humans Robotics
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Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.

Journal of the American Medical Informatics Association : JAMIA Feb 5, 2015
OBJECTIVE: For many literature review tasks, including systematic review (SR) and other aspects of evidence-based medicine, it is important to know whether an article describes a randomized controlled trial (RCT). Current manual annotation is not com...
Artificial Intelligence ROC Curve Randomized Controlled Trials as Topic Review Literature as Topic Support Vector Machine Humans Evidence-Based Medicine Information Storage and Retrieval MEDLINE
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EvidenceOutcomes: A Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes.

Studies in health technology and informatics Aug 7, 2025
The fundamental process of evidence extraction in evidence-based medicine relies on identifying PICO elements, with Outcomes being the most complex and often overlooked. To address this, we introduce EvidenceOutcomes, a large annotated corpus of clin...
Humans Machine Learning Outcome Assessment, Health Care Clinical Trials as Topic Evidence-Based Medicine Natural Language Processing Data Mining
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The present and future of lung cancer screening: latest evidence.

Future oncology (London, England) Jun 1, 2025
Lung cancer is the leading cause of cancer-related mortality worldwide. Early lung cancer detection improves lung cancer-related mortality and survival. This report summarizes presentations and panel discussions from a webinar, "The Present and Futur...
Early Detection of Cancer Lung Neoplasms Humans United Kingdom Mass Screening Artificial Intelligence Evidence-Based Medicine
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Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.

Studies in health technology and informatics May 15, 2025
Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive process in evidence-based medicine. We evaluated GPT-4o, GPT-4o-mini, and Llama 3.1:8B on abstract screening and risk of bias assessment using 12 Cochra...
Evidence-Based Medicine Large Language Models Reproducibility of Results Natural Language Processing Review Literature as Topic Programming Languages Systematic Reviews as Topic Humans
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Evaluating a large language model's ability to answer clinicians' requests for evidence summaries.

Journal of the Medical Library Association : JMLA Jan 14, 2025
OBJECTIVE: This study investigated the performance of a generative artificial intelligence (AI) tool using GPT-4 in answering clinical questions in comparison with medical librarians' gold-standard evidence syntheses.
Language Information Storage and Retrieval Evidence-Based Medicine Humans Artificial Intelligence Librarians Large Language Models Libraries, Medical
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Towards Autonomous Living Meta-Analyses: A Framework for Automation of Systematic Review and Meta-Analyses.

Studies in health technology and informatics Aug 22, 2024
Systematic review and meta-analysis constitute a staple of evidence-based medicine, an obligatory step in developing the guideline and recommendation document. It is a formalized process aiming at extracting and summarizing knowledge from the publish...
Systematic Reviews as Topic Meta-Analysis as Topic Evidence-Based Medicine Humans Natural Language Processing
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Clinical Evaluation of Artificial Intelligence-Enabled Interventions.

Investigative ophthalmology & visual science Aug 1, 2024
Artificial intelligence (AI) health technologies are increasingly available for use in real-world care. This emerging opportunity is accompanied by a need for decision makers and practitioners across healthcare systems to evaluate the safety and effe...
Evidence-Based Medicine Biomedical Technology Research Design Delivery of Health Care Humans Artificial Intelligence
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Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis.

Journal of Alzheimer's disease : JAD Jan 1, 2024
BACKGROUND: Alzheimer's disease (AD), a major dementia cause, lacks effective treatment. MRI-based hippocampal volume measurement using artificial intelligence offers new insights into early diagnosis and intervention in AD progression.
Hippocampus Evidence-Based Medicine Artificial Intelligence Deep Learning Magnetic Resonance Imaging Alzheimer Disease Humans Cognitive Dysfunction
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