AIMC Topic: Randomized Controlled Trials as Topic

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Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Administration and policy in mental health Sep 1, 2020
This conceptual paper describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving ment...
Precision Medicine Mental Health Services Randomized Controlled Trials as Topic Humans Health Services Research Artificial Intelligence
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Artificial Intelligence Uncovered Clinical Factors for Cardiovascular Events in Myocardial Infarction Patients with Glucose Intolerance.

Cardiovascular drugs and therapy Aug 1, 2020
PURPOSE: Glucose intolerance (GI), defined as either prediabetes or diabetes, promotes cardiovascular events in patients with myocardial infarction (MI). Using the pooled clinical data from patients with MI and GI in the completed ABC and PPAR trials...
Humans Artificial Intelligence Natriuretic Peptide, Brain Proton Pump Inhibitors Angina, Stable Recurrence Myocardial Infarction Heart Failure Data Mining Glucose Intolerance Aged Male Middle Aged Retrospective Studies Blood Glucose Databases, Factual Female Randomized Controlled Trials as Topic Biomarkers Risk Factors Percutaneous Coronary Intervention Prognosis Hospitalization Coronary Artery Disease
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Artificial Intelligence: Promise, Pitfalls, and Perspective.

JAMA Jun 23, 2020
Natural Language Processing Radiology Coronavirus Infections Data Collection Deep Learning Automobiles Randomized Controlled Trials as Topic Betacoronavirus Pneumonia, Viral Automobile Driving Image Interpretation, Computer-Assisted Comprehension Artificial Intelligence Pandemics COVID-19 Forecasting Delivery of Health Care Electronic Health Records SARS-CoV-2
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[Intensities in the application of robotic technologies in upper extremity rehabilitation after a stroke: a systematic review of randomised controlled clinical trials].

Revista de neurologia Jun 16, 2020
INTRODUCTION: In the vast majority of cases stroke entails long-term limitations in the use of the upper extremities that are affected. Robotic technologies provide beneficial results in motor rehabilitation, but the optimal levels of intensity are n...
Randomized Controlled Trials as Topic Robotics Upper Extremity Stroke Rehabilitation Humans
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Can we learn individual-level treatment policies from clinical data?

Biostatistics (Oxford, England) Apr 1, 2020
Humans Health Services Research Machine Learning Biostatistics Precision Medicine Electronic Health Records Causality Randomized Controlled Trials as Topic
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Machine learning-guided intervention trials to predict treatment response at an individual patient level: an important second step following randomized clinical trials.

Molecular psychiatry Apr 1, 2020
Schizophrenia Humans Machine Learning Brain Treatment Outcome Randomized Controlled Trials as Topic
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Randomized Clinical Trials of Artificial Intelligence.

JAMA Mar 17, 2020
Humans Artificial Intelligence Machine Learning Randomized Controlled Trials as Topic Elective Surgical Procedures Hypotension
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Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Journal of thrombosis and thrombolysis Jan 1, 2020
Traditional statistical models allow population based inferences and comparisons. Machine learning (ML) explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that may account for higher ord...
Hemorrhage Acute Coronary Syndrome Models, Cardiovascular Middle Aged Risk Assessment Humans Randomized Controlled Trials as Topic Female Machine Learning Fibrinolytic Agents Aged Male
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MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.

Brain imaging and behavior Oct 1, 2019
Neuroanatomical pattern classification using support vector machines (SVMs) has shown promising results in classifying Multiple Sclerosis (MS) patients based on individual structural magnetic resonance images (MRI). To determine whether pattern class...
Multiple Sclerosis Female Support Vector Machine Humans Gray Matter Magnetic Resonance Imaging Adult Randomized Controlled Trials as Topic Male Disease Progression
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Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: The prediction of clinical outcomes for patients with cancer is central to precision medicine and the design of clinical trials. We developed and validated machine-learning models for three important clinical end points in patients with adva...
Kaplan-Meier Estimate Stochastic Processes Randomized Controlled Trials as Topic Neoplasm Staging Combined Modality Therapy Prognosis Humans Models, Biological Tumor Burden Lung Neoplasms Machine Learning Neoplasm Metastasis Treatment Outcome Algorithms Molecular Targeted Therapy Carcinoma, Non-Small-Cell Lung
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