AIMC Topic: Research Design

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An evaluation of the performance of stopping rules in AI-aided screening for psychological meta-analytical research.

Research synthesis methods Oct 16, 2024
Several AI-aided screening tools have emerged to tackle the ever-expanding body of literature. These tools employ active learning, where algorithms sort abstracts based on human feedback. However, researchers using these tools face a crucial dilemma:...
Sensitivity and Specificity Meta-Analysis as Topic Artificial Intelligence Research Design Algorithms Reproducibility of Results Humans
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Larger and more instructable language models become less reliable.

Nature Sep 25, 2024
The prevailing methods to make large language models more powerful and amenable have been based on continuous scaling up (that is, increasing their size, data volume and computational resources) and bespoke shaping up (including post-filtering, fine ...
Natural Language Processing Research Design Reproducibility of Results Feedback
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How can quantum computing be applied in clinical trial design and optimization?

Trends in pharmacological sciences Sep 23, 2024
Clinical trials are necessary for assessing the safety and efficacy of treatments. However, trial timelines are severely delayed with minimal success due to a multitude of factors, including imperfect trial site selection, cohort recruitment challeng...
Machine Learning Research Design Humans Quantum Theory Clinical Trials as Topic
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Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study.

Journal of medical Internet research Sep 23, 2024
BACKGROUND: Evaluation of artificial intelligence (AI) tools in clinical trials remains the gold standard for translation into clinical settings. However, design factors associated with successful trial completion and the common reasons for trial fai...
Case-Control Studies Clinical Trials as Topic Female Male Humans Research Design Artificial Intelligence Retrospective Studies
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Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies Using AI (QUADAS-AI): Protocol for a Qualitative Study.

JMIR research protocols Sep 18, 2024
BACKGROUND: Quality assessment of diagnostic accuracy studies (QUADAS), and more recently QUADAS-2, were developed to aid the evaluation of methodological quality within primary diagnostic accuracy studies. However, its current form, QUADAS-2 does no...
Humans Artificial Intelligence Delphi Technique Quality Assurance, Health Care Research Design Qualitative Research
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Benchmarking Human-AI collaboration for common evidence appraisal tools.

Journal of clinical epidemiology Sep 12, 2024
BACKGROUND AND OBJECTIVE: It is unknown whether large language models (LLMs) may facilitate time- and resource-intensive text-related processes in evidence appraisal. The objective was to quantify the agreement of LLMs with human consensus in apprais...
Evidence-Based Medicine Systematic Reviews as Topic Benchmarking Humans Artificial Intelligence Research Design Consensus
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Artificial intelligence in human resource development: An umbrella review protocol.

PloS one Sep 9, 2024
The recent surge in artificial intelligence (AI) has significantly transformed work dynamics, particularly in human resource development (HRD) and related domains. Scholars, recognizing the significant potential of AI in HRD functions and processes, ...
Staff Development Humans Artificial Intelligence Research Design Systematic Reviews as Topic
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Common Critiques and Recommendations for Studies in Neurology Using Machine Learning Methods.

Neurology Sep 5, 2024
Machine learning (ML) methods are becoming more prevalent in the neurology literature as alternatives to traditional statistical methods to address challenges in the analysis of modern data sets. Despite the increase in the popularity of ML methods i...
Neurology Humans Machine Learning Research Design Biomedical Research
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Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study.

BMJ open Sep 5, 2024
INTRODUCTION: Missed fractures are the most frequent diagnostic error attributed to clinicians in UK emergency departments and a significant cause of patient morbidity. Recently, advances in computer vision have led to artificial intelligence (AI)-en...
Research Design Prospective Studies Humans Artificial Intelligence Radiography Diagnostic Errors United Kingdom Fractures, Bone
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Ethical Considerations in the Design and Conduct of Clinical Trials of Artificial Intelligence.

JAMA network open Sep 3, 2024
IMPORTANCE: Safe integration of artificial intelligence (AI) into clinical settings often requires randomized clinical trials (RCT) to compare AI efficacy with conventional care. Diabetic retinopathy (DR) screening is at the forefront of clinical AI ...
United States Clinical Trials as Topic Male Qualitative Research Diabetic Retinopathy Artificial Intelligence Research Design Female Humans
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