AIMC Topic: Clinical Trials as Topic

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The world is only ten years old: The dawn of artificial intelligence in urologic oncology.

Urologic oncology May 14, 2020
Medical Oncology Clinical Trials as Topic Urology Humans Neural Networks, Computer Artificial Intelligence
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Assessing the Scope and Predictors of Intentional Dose Non-adherence in Clinical Trials.

Therapeutic innovation & regulatory science May 4, 2020
BACKGROUND: Although there is broad agreement that the accurate estimation of non-adherence rates in clinical trials is essential to determining the dose-response relationship, treatment safety and efficacy effects, no accurate estimates have ever be...
Humans Artificial Intelligence Clinical Trials as Topic
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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Annals of diagnostic pathology Apr 12, 2020
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integr...
Image Processing, Computer-Assisted Liver Cirrhosis Liver Humans Artificial Intelligence Severity of Illness Index Organ Dysfunction Scores Eosine Yellowish-(YS) Methyl Green Azo Compounds Collagen Automation Portal Vein Practice Patterns, Physicians' Clinical Trials as Topic Biopsy Pathologists Supervised Machine Learning Non-alcoholic Fatty Liver Disease Fibrosis
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Oncology Research: Clinical Trial Management Systems, Electronic Medical Record, and Artificial Intelligence.

Seminars in oncology nursing Apr 4, 2020
OBJECTIVE: To discuss the implications of electronic systems and regulations regarding the use of electronic systems implemented during the conduct of a clinical trial and identify the impact of such platforms on oncology nurses' responsible for prov...
Clinical Trials as Topic Research Subjects Oncology Nursing Electronic Health Records Medical Oncology Humans Artificial Intelligence
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Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial.

IEEE journal of biomedical and health informatics Mar 9, 2020
Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying eligible trial participants is resource-intensive when relying on manual review of clinical notes, particularly in critical care settings where the time win...
Data Mining Critical Care Clinical Trials as Topic Natural Language Processing Patient Selection Humans Computer Simulation Electronic Health Records Female Adult Male
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Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?

Clinical pharmacology and therapeutics Mar 3, 2020
As the field of artificial intelligence and machine learning (AI/ML) for drug discovery is rapidly advancing, we address the question "What is the impact of recent AI/ML trends in the area of Clinical Pharmacology?" We address difficulties and AI/ML ...
Humans Drug Discovery Artificial Intelligence Clinical Trials as Topic Animals Pharmacology, Clinical
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Development of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project.

BMJ open Feb 17, 2020
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to a preventable or curable disease, if detected early enough. Vision screening in childhood is an evidence-based and cost-effective way to detect visua...
Humans Artificial Intelligence Infant Adolescent Child, Preschool Child Clinical Trials as Topic Asia Amblyopia Smartphone Vision Screening United States Multicenter Studies as Topic Europe Vision Disorders Cost-Benefit Analysis
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Key indicators of phase transition for clinical trials through machine learning.

Drug discovery today Jan 8, 2020
A significant number of drugs fail during the clinical testing stage. To understand the attrition of drugs through the regulatory process, here we review and advance machine-learning (ML) and natural language-processing algorithms to investigate the ...
Humans Machine Learning Drug Development Clinical Trials as Topic
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Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials.

Therapeutic innovation & regulatory science Jan 6, 2020
BACKGROUND: Delays in clinical trial enrollment and difficulties enrolling representative samples continue to vex sponsors, sites, and patient populations. Here we investigated use of an artificial intelligence-powered technology, Mendel.ai, as a mea...
Time Humans Neoplasms Artificial Intelligence Patient Selection Clinical Trials as Topic
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Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.

Nature medicine Jan 6, 2020
Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive. M...
Brain Neoplasms Deep Learning Probability Neural Networks, Computer Humans Computer Systems Clinical Trials as Topic Algorithms Monitoring, Intraoperative Image Processing, Computer-Assisted Spectrum Analysis, Raman
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