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Machine Learning
Clinical trial pipeline · Data from ClinicalTrials.gov
See which Machine Learning trials may be worth asking aboutClinical trial pipeline · Data from ClinicalTrials.gov
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Context: Several authors have been interested in applying Artificial Intelligence (AI) to medicine, using various Machine Learning (ML) techniques: managing se…
Exposure therapy is the most effective treatment available for obsessive compulsive disorder, yet up to 50% of patients do not recover because the mechanisms un…
This study is a prospective, multicenter study in the real practice to validate the diagnostic performances and clinical impact of coronary angiography \& intra…
The aim of this prospective study is to evaluate the accuracy of artificial intelligence (AI) and machine learning algorithms in predicting difficult airways in…
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by disturbances in communication, poor social skills, and aberrant behaviors. Part…
The goal of this observational study is to evaluate whether artificial intelligence (AI) algorithms can predict or exclude acute coronary syndrome (ACS) in adul…
Background: Many people in the United States are overweight or obese. Researchers want to learn why some people can overeat and not gain weight, whereas others…
This multicenter retrospective observational study aims to develop and validate an interpretable machine learning model for differentiating diabetic kidney dise…
This study will develop and internally validate three machine learning models - logistic regression, random forest, and XGBoost - to predict local anesthetic (L…