AIMC Topic: Clinical Trials as Topic

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Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design.

Scientific reports Jan 12, 2023
Overly restrictive eligibility criteria for clinical trials may limit the generalizability of the trial results to their target real-world patient populations. We developed a novel machine learning approach using large collections of real-world data ...
Machine Learning Algorithms Electronic Health Records Humans Eligibility Determination Models, Statistical Clinical Trials as Topic
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Artificial intelligence clinical trials and critical appraisal: a necessity.

ANZ journal of surgery Jan 11, 2023
Artificial Intelligence Humans Clinical Trials as Topic
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A review of research on eligibility criteria for clinical trials.

Clinical and experimental medicine Jan 5, 2023
The purpose of this paper is to systematically sort out and analyze the cutting-edge research on the eligibility criteria of clinical trials. Eligibility criteria are important prerequisites for the success of clinical trials. It directly affects the...
Clinical Trials as Topic Eligibility Determination Natural Language Processing Patient Selection Artificial Intelligence Research Design Humans
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Improving clinical trial design using interpretable machine learning based prediction of early trial termination.

Scientific reports Jan 4, 2023
This study proposes using a machine learning pipeline to optimise clinical trial design. The goal is to predict early termination probability of clinical trials using machine learning modelling, and to understand feature contributions driving early t...
Humans Probability Clinical Trials as Topic Eligibility Determination Machine Learning Research Design
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Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models.

BMC medical informatics and decision making Oct 13, 2022
BACKGROUND: Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles, searching for this knowledge...
Clinical Trials as Topic Bevacizumab Lomustine Temozolomide Glioblastoma Humans Nivolumab Chronic Disease Deep Learning Natural Language Processing
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Using modern risk engines and machine learning/artificial intelligence to predict diabetes complications: A focus on the BRAVO model.

Journal of diabetes and its complications Oct 3, 2022
Management of diabetes requires a multifaceted approach of risk factor reduction; through management of risk factors such as glucose, blood pressure and cholesterol. Goals for these risk factors often vary and guidelines suggest that this is based on...
Risk Factors Clinical Trials as Topic Artificial Intelligence Machine Learning Diabetes Complications Humans
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Radiomics in neuro-oncological clinical trials.

The Lancet. Digital health Sep 28, 2022
The development of clinical trials has led to substantial improvements in the prevention and treatment of many diseases, including brain cancer. Advances in medicine, such as improved surgical techniques, the development of new drugs and devices, the...
Image Processing, Computer-Assisted Diagnostic Imaging Clinical Trials as Topic Forecasting Humans Artificial Intelligence Brain Neoplasms
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A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design.

Ophthalmology. Glaucoma Aug 28, 2022
PURPOSE: To investigate the efficacy of a deep learning regression method to predict macula ganglion cell-inner plexiform layer (GCIPL) and optic nerve head (ONH) retinal nerve fiber layer (RNFL) thickness for use in glaucoma neuroprotection clinical...
Humans Deep Learning Visual Fields Glaucoma Cross-Sectional Studies Clinical Trials as Topic Neuroprotection Intraocular Pressure Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells
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The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria.

Scientific data Aug 11, 2022
Identifying cohorts of patients based on eligibility criteria such as medical conditions, procedures, and medication use is critical to recruitment for clinical trials. Such criteria are often most naturally described in free-text, using language fam...
Humans Databases, Factual Patient Selection Information Storage and Retrieval Natural Language Processing Clinical Trials as Topic
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Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2.

Diagnostic microbiology and infectious disease Jul 7, 2022
BACKGROUND: The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction (RT-PCR)- is expensive and often slow to yield results whereas lateral flow tests can lack sensitivity.
COVID-19 Nucleic Acid Testing SARS-CoV-2 COVID-19 COVID-19 Serological Testing Clinical Trials as Topic Sensitivity and Specificity Humans Reproducibility of Results Time Factors Antigens, Viral Artificial Intelligence
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