AIMC Topic: Clinical Trials as Topic
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Sample Size Calculation for Clinical Trials of Medical Decision Support Systems with Binary Outcome.
Sovremennye tekhnologii v meditsine
May 28, 2022
Currently, software products for use in medicine are actively developed. Among them, the dominant share belongs to clinical decision support systems (CDSS), which can be intelligent (based on mathematical models obtained by machine learning methods o...
Facilitating clinical research through automation: Combining optical character recognition with natural language processing.
Clinical trials (London, England)
May 24, 2022
BACKGROUND/AIMS: Performance status is crucial for most clinical research, as an eligibility criterion, a comorbidity covariate, or a trial endpoint. Yet information on performance status often is embedded as free text within a patient's electronic m...
An annotated corpus of clinical trial publications supporting schema-based relational information extraction.
Journal of biomedical semantics
May 23, 2022
BACKGROUND: The evidence-based medicine paradigm requires the ability to aggregate and compare outcomes of interventions across different trials. This can be facilitated and partially automatized by information extraction systems. In order to support...
Improving clinical trial efficiency using a machine learning-based risk score to enrich study populations.
European journal of heart failure
May 22, 2022
AIMS: Prognostic enrichment strategies can make trials more efficient, although potentially at the cost of diminishing external validity. Whether using a risk score to identify a population at increased mortality risk could improve trial efficiency i...
Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials.
Experimental eye research
May 4, 2022
Machine Learning Prediction of Clinical Trial Operational Efficiency.
The AAPS journal
Apr 21, 2022
Clinical trials are the gatekeepers and bottlenecks of progress in medicine. In recent years, they have become increasingly complex and expensive, driven by a growing number of stakeholders requiring more endpoints, more diverse patient populations, ...
Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volume.
Journal of neuroimaging : official journal of the American Society of Neuroimaging
Apr 17, 2022
BACKGROUND AND PURPOSE: Intracerebral hemorrhage (ICH) and intraventricular hemorrhage (IVH) clinical trials rely on manual linear and semi-quantitative (LSQ) estimators like the ABC/2, modified Graeb and IVH scores for timely volumetric estimation f...
Advancing pharmacy and healthcare with virtual digital technologies.
Advanced drug delivery reviews
Jan 5, 2022
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are provid...
United States Food and Drug Administration
Digital Technology
Drug Industry
Clinical Trials as Topic
Health Care Sector
Biomedical Technology
United States
Drug Development
Remote Sensing Technology
Time Factors
Research Design
Mobile Applications
Drug Discovery
Health Information Exchange
Virtual Reality
Humans
Artificial Intelligence
Machine Learning
Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: a Review.
The AAPS journal
Jan 4, 2022
Over the past decade, artificial intelligence (AI) and machine learning (ML) have become the breakthrough technology most anticipated to have a transformative effect on pharmaceutical research and development (R&D). This is partially driven by revolu...
Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon.
PloS one
Dec 16, 2021
INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. WHO recommendation for cervical cancer screening in LMICs includes HPV testing as primary screen...
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