AIMC Topic: Research Design

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Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models.

Korean journal of anesthesiology Jun 1, 2025
BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates comprehensive and standardized reporting guidelines to ensure transparency, reproducibility, and ethical applications in clinical research. Existing reportin...
Checklist Humans Artificial Intelligence Biomedical Research Guidelines as Topic Research Design
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Clinical Trial Design Approach to Auditing Language Models in Health Care Setting.

JCO clinical cancer informatics Jun 1, 2025
PURPOSE: Rapid advancements in natural language processing have led to the development of sophisticated language models. Inspired by their success, these models are now used in health care for tasks such as clinical documentation and medical record c...
Machine Learning Research Design Humans Natural Language Processing Registries Clinical Trials as Topic Delivery of Health Care Reproducibility of Results
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Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting Jun 1, 2025
The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may allow for real-time modifications based on emergi...
Humans Artificial Intelligence Machine Learning Medical Oncology Clinical Trials as Topic Research Design Neoplasms
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AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson's disease for the development of neuronal fingerprints using artificial intelligence.

BMJ open May 16, 2025
INTRODUCTION: Deep brain stimulation (DBS) is a proven effective treatment for Parkinson's disease (PD). However, titrating DBS stimulation parameters is a labourious process and requires frequent hospital visits. Additionally, its current applicatio...
Observational Studies as Topic Parkinson Disease Prospective Studies Longitudinal Studies Deep Brain Stimulation Subthalamic Nucleus Humans Algorithms Research Design Artificial Intelligence
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Explosion of formulaic research articles, including inappropriate study designs and false discoveries, based on the NHANES US national health database.

PLoS biology May 1, 2025
With the growth of artificial intelligence (AI)-ready datasets such as the National Health and Nutrition Examination Survey (NHANES), new opportunities for data-driven research are being created, but also generating risks of data exploitation by pape...
Nutrition Surveys Research Design United States Humans Databases, Factual Artificial Intelligence
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Analysis of eligibility criteria clusters based on large language models for clinical trial design.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVES: Clinical trials (CTs) are essential for improving patient care by evaluating new treatments' safety and efficacy. A key component in CT protocols is the study population defined by the eligibility criteria. This study aims to evaluate the...
Clinical Protocols Eligibility Determination Humans Large Language Models Cluster Analysis Natural Language Processing Patient Selection Research Design Clinical Trials as Topic
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Core Concepts in Pharmacoepidemiology: Principled Use of Artificial Intelligence and Machine Learning in Pharmacoepidemiology and Healthcare Research.

Pharmacoepidemiology and drug safety Nov 1, 2024
Artificial intelligence (AI) and machine learning (ML) are important tools across many fields of health and medical research. Pharmacoepidemiologists can bring essential methodological rigor and study design expertise to the design and use of these t...
Humans Artificial Intelligence Pharmacoepidemiology Research Design Health Services Research Machine Learning Algorithms
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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...
Delivery of Health Care Evidence-Based Medicine Biomedical Technology Artificial Intelligence Research Design Humans
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Semisupervised transfer learning for evaluation of model classification performance.

Biometrics Jan 29, 2024
In many modern machine learning applications, changes in covariate distributions and difficulty in acquiring outcome information have posed challenges to robust model training and evaluation. Numerous transfer learning methods have been developed to ...
Bias Supervised Machine Learning Research Design ROC Curve Humans Machine Learning
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Adaptive selection of the optimal strategy to improve precision and power in randomized trials.

Biometrics Jan 29, 2024
Benkeser et al. demonstrate how adjustment for baseline covariates in randomized trials can meaningfully improve precision for a variety of outcome types. Their findings build on a long history, starting in 1932 with R.A. Fisher and including more re...
Linear Models United States Randomized Controlled Trials as Topic Sample Size Machine Learning Research Design
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