Clinical Trials About "Intelligence Squared U.S." RSS

08:43 EST 14th December 2018 | BioPortfolio

We list hundreds of Clinical Trials about "Intelligence Squared U.S." on BioPortfolio. We draw our references from global clinical trials data listed on and refresh our database daily.

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Showing "Intelligence Squared" Clinical Trials 1–25 of 137


Effects of an Educational Intervention on Emotional Intelligence in School Students

Objectives: Evaluate the effect on emotional intelligence levels of an educational intervention. Design: Randomized Clinical Trial Methods: An intervention on emotional intelligence was conducted in a Primary School. Students were recruited and randomized into intervention or control group (no intervention) by class (cluster). Total sample was 179. Results were measured with EQi-YV and ERQ-CA questionnaires. Statistical analysis was made with Student's t and Mann-Whitne...

Social Intelligence Training for Custodial Grandfamilies

This study is a randomized clinical trial designed to compare an online social intelligence intervention with an active control condition at improving the emotional, physical, and social well-being of custodial grandmothers and their adolescent grandchildren,

Emotional Intelligence in Patients With Addictive Disorder

The study aims to evaluate the level of emotional intelligence in patients diagnosed with substance use disorder and to evaluate the benefits in emotional skills after a brief intervention based on emotional intelligence.

Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

Quality measures in colonoscopy are important guides for improving the quality of patient care. But quality improvement intervention is not taking place, primarily because of the inconvenience and expense. To address the difficulty in intervention, we used artificial intelligence for measuring performance on colonoscopy quality indicators and feedback.

Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment

The purpose of this study is to understand the effects of using a Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system. In this prospective real-time study, the investigators will send de-identified hand radiographs to the Artificial Intelligence algorithm and surface the output of this algorithm to the radiologist, who will incorporate this information with their normal workflows to make a diagnosis of the patient's bone age...

Tailored Drug Titration Through Artificial Intelligence

ARTERY is a randomized clinical trial that investigates the benefit of a predictive modeling artificial intelligence in improving the management of anti-hypertensive medication treatment.

Programming Cochlear Implant With Artificial Intelligence

This thesis project proposes to investigate the "state of the art" of the programming of the cochlear implant. In the center of audiophonologie Brussels, the classic 'manual programming' has been in use over 20 years and also the new way 'Artificial Intelligence programming'. The investigators want to compare, objectify, and control this new mode of programming. The study is planned over 4 years, in order to test, randomized, 15 subjects with manual programming and 15 other su...

Developing Smokers for Smoker (S4S): A Collective Intelligence Tailoring System

This study will advance computer tailoring by adapting machine learning collective intelligence algorithms that have been used outside healthcare by companies like Amazon and Google to enhance the personal relevance of the health communication.

Association Analysis and Medical Machine Intelligence Study for Traditional Chinese Internal Medicine

This study aimed at 1. exploring the relationships of traditional Chinese medicine (TCM) syndrome and internal diseases, 2. investigating the relationships of TCM treatment and internal diseases, and 3. creating medical machine intelligence to help internal physician in clinical practice. Big data methods and artificial intelligence algorithms are used to assess the associations based on electronic case files of patients.

Personal Activity Intelligence (PAI) Pilot

Pilot study to evaluate the use of the Personal Activity Intelligence (PAI) score in a clinical setting.

Artificial Intelligence-assisted Glaucoma Screening (AIAGS)

This study will develop an artificial intelligence (AI) program for the screening of glaucoma.

Meditation and Emotional Intelligence

This randomized controlled trial evaluated the impact of the Transcendental Meditation program on emotional intelligence and perceived stress in supervisors and administrative staff in a public school system

Using Artificial Intelligence to Measure and Optimize Adherence in Patients on Anticoagulation Therapy.

AiCure uses artificial intelligence and visual recognition technology to confirm medication ingestion. The software is available as an app and downloaded onto a smart phone. The single-site, parallel-arm, randomized controlled trial will test the feasibility and impact of using the platform in a stroke population. End points: usability, consistent use of the device, and optimization of treatment.

Simple, Mobile-based Artificial Intelligence AlgoRithms in the Detection of Diabetic ReTinopathy (SMART) Study

This is an observational cross sectional study aimed to evaluate the performance of the artificial intelligence algorithm in detecting any grade of diabetic retinopathy using retinal images from patients with diabetes.

Dexmedetomidine and Intelligence Development in Pediatric Patients Undergoing Craniotomy

The purpose of this randomized, double-blind and placebo-controlled pilot study is to investigate whether dexmedetomidine when used as an adjuvant to general anesthesia can decrease the harmful effects of anesthesia and surgery on intelligence development in pediatric patients undergoing craniotomy.

Spinal Cord and Artificial Intelligence

The aim of this study was to analyze using an artificial intelligence engine (IA) the influence of the pathophysiological environment (set parametric monitoring data, imaging, biology etc.) of acute spinal cord trauma on spinal pain. This project seeks to establish the principles of a new approach for studying spinal cord injury patients. It does not meet the usual criteria of clinical trials in so far as it does not test on patients the effect of a therapeutic

An Emotion-Focused Intervention for Glycemic Control in T2D

The primary aim of this proposed project is to collect pilot data using an Emotion Regulation / Emotional Intelligence-Focused Psychosocial Intervention to obtain the effect sizes on hypothesized changes in Emotion Regulation, Emotional Intelligence, and HbA1c values that will be needed for a more appropriately sized clinical trial for an RO1 submission to the National Institutes of Health.

Caris Molecular Intelligence Registry

This data collection Registry is a multi-center, observational outcomes Database designed to collect data on the demographics, presentation, diagnosis, treatment, resource use, quality of life and outcomes of subjects utilizing Caris Molecular Intelligence™ Services for treatment of solid tumor cancer.

The Effect of Personal Activity Intelligence Versus 10,000 Steps Daily on Cardiorespiratory Fitness

A high physical fitness can prevent cardiovascular disease. Which form of exercise training is efficient at improving fitness is well known. The challenge is to get people to do it. Personal activity intelligence (PAI) is an algorithm developed for this challenge. It gives a score that tells the users whether they are active enough to achieve the maximum health benefit of exercise based on their heart rate. It has been shown that people who obtain 100 PAI a week have less cardi...

Breast Ultrasound Image Reviewed With Assistance of Deep Learning Algorithms

This study evaluates a second review of ultrasound images of breast lesions using an interactive "deep learning" (or artificial intelligence) program developed by Samsung Medical Imaging, to see if this artificial intelligence will help the Radiologist make more accurate diagnoses.

SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry

International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and its clinical impact on pts with advanced cancer to facilitate clinical trial enrollment (CTE), as well as the financial impact, and potential outcomes of the intervention.

Yale College Project Randomized Control Trial

The Yale College Emotional Intelligence project aims to highlight the beneficial impact of wellness programs for Yale students. The investigators will examine the benefits of 3 empirically-validated programs (Emotional Intelligence, KORU Mindfulness & YESplus Yoga Breathing) for Yale students on measures of general well-being (e.g. perceived stress, gratitude etc). The study will also include a no-treatment control group as a comparative measure to the well-being programs. The ...

POA Retrospective Repository

This repository is a multi-center, outcomes study designed to retrospectively collect data on the demographics, presentation, diagnosis, treatment, cost of associated care, quality of life, and outcomes of subjects utilizing Caris Molecular Intelligence® (CMI) Services for the treatment of cancer. Prior to enrolling a subject, the subject's physician will have made the independent decision whether or not to utilize the drug associations provided by CMI and made clinical treatm...


The aim of this study is to develop a predictive model of risk of developing melanoma. We will used artificial intelligence techniques to analysed images patterns obtained by clinical and dermoscopic pictures. We want to defined a new predictive risk model obtained from genetic information and image analysis of pigmented lesions. This model could help to discriminate more accurately those patients who are most likely to develop melanoma in a high-risk population.

Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

Esophageal squamous cell carcinoma is one of the most common malignant tumor of upper digestive tract. However, the detection rate and diagnosis accuracy of early esophageal squamous cell cancer is low. The aim of this study is to develop a computer-assisted diagnosis tool combining with optical magnifying endoscopy for early detection and accurate diagnosis of it.

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