Clinical trials: Education
Alzheimer Disease, Mild Cognitive Impairment
Evaluation of Web-based Training to Educate Physicians in the Methods of Interpreting Florbetapir-PET Scans
This study will investigate the performance of physician readers trained to read florbetapir-PET scans using electronic media training.
- Conditions
- Alzheimer Disease, Mild Cognitive Impairment, Neurodegenerative Diseases
- Trial name
- NCT01550549
- Testing
- florbetapir F 18
- Volunteers
- 151 people, healthy volunteers welcome
- Sponsor
- Avid Radiopharmaceuticals
Breast Cancer, Early Detection of Cancer
A Prospective Study to Evaluate Clinical Performance of Thermalytix in Detecting Breast Cancers
The purpose of this study is to determine the clinical performance of AI-based Thermalytix with the current standard-of-care diagnostic modalities in women.
- Trial name
- NCT04688086
- Testing
- Thermalytix
- Where
- India
- Volunteers
- 687 people, healthy volunteers welcome
- Sponsor
- Niramai Health Analytix Private Limited
Dementia, Prisoners
Computer-Based Learning to Enhance Dementia Care in Prison
The mission of corrections is to provide care, custody, and control for incarcerated individuals. United States prisons are required by law to provide adequate care for growing numbers of older people who are incarcerated-a group…
- Trial name
- NCT05497882
- Testing
- E-Learning Prototype for Dementia Care
- Where
- 2 sites in United States
- Volunteers
- 23 people, healthy volunteers welcome
- Sponsor
- Klein Buendel, Inc.
Obstructive Sleep Apnea, Obstructive Sleep Apnea-hypopnea
Updating Deep Learning Algorithms for OSA Monitoring
The objective is to enhance the reliability of the algorithm to match that of Level 1 polysomnography by leveraging the diverse data obtained from Level 1 polysomnography to refine the deep learning algorithm.
- Trial name
- NCT06522815
- Testing
- CART-I plus, Polysomnography
- Where
- South Korea
- Volunteers
- 107 people, healthy volunteers welcome
- Sponsor
- Sky Labs
Sepsis, Severe Sepsis
Unsupervised Machine Learning for Clustering of Septic Patients to Determine Optimal Treatment
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a fluid treatment-specific…
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- NCT03752489
- Testing
- Treatment-specific InSight, InSight
- Volunteers
- 51,645 people, healthy volunteers welcome
- Sponsor
- Dascena
Pregnancy
Clinical Data Collection for Obstetric Ultrasound Algorithms
The goal of this clinical trial is to Collect ultrasound data from pregnant and non-pregnant individuals presenting to multiple study sites.
- Trial name
- MOBUS (NCT06742229)
- Testing
- Research Ultrasound scan
- Where
- 3 sites in United States
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Caption Health, Inc.
Diabetic Retinopathy
Multicenter Diagnostic Clinical Performance Study For Automated Detection of Diabetic Retinopathy
This study is a retrospective study to assess the efficacy and accuracy of the EyeCheckup software in screening for diabetic retinopathy in healthcare settings.
- Trial name
- NCT05471986
- Testing
- Color Fundus Photography/Non-Mydriatic Opthalmic Cameras
- Volunteers
- 900 people, healthy volunteers welcome
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Aging, Mortality
Longevity Metrics AI/ML Development Study
This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy.
- Conditions
- Aging, Mortality, Cardiovascular Disease Prevention, Metabolic Syndrome
- Trial name
- NCT07808619
- Testing
- AIML scored health screening battery
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Longevity Metrics, Inc.
Sepsis, Severe Sepsis
RCT of Sepsis Machine Learning Algorithm
The focus of this study will be to conduct a prospective, multi-center randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a machine-learning…
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- NCT03882476
- Testing
- InSight
- Volunteers
- healthy volunteers welcome
- Sponsor
- Dascena
Usability
Summative Usability Study of CEREBO® - a Non Invasive Intracranial Hemorrhage Detector
Traumatic brain injury is one of the most common reasons for visits to the Emergency Department. More than 90% of patients who have suffered from head trauma present with a mild traumatic brain injury.
- Trial name
- NCT05340127
- Testing
- CEREBO®
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Bioscan Research Pvt. Ltd.
Autistic Disorder
e-Unstuck:Interactive e-Learning Software for Parents to Support Executive Functioning and Behavior Regulation in Children With Autism Spectrum Disorder
The goal of this project is to develop and test e-Unstuck, an e-learning intervention that (1) provides advanced training to parents of children with Autism Spectrum Disorder without Intellectual Disability (ASDwoID) on how to…
- Trial name
- e-Unstuck (NCT02708069)
- Testing
- e-Unstuck, Unstuck and On Target
- Where
- 2 sites in United States
- Volunteers
- 97 people, healthy volunteers welcome
- Sponsor
- 3-C Institute for Social Development
Alzheimer Disease, Preclinical Alzheimer's Disease
Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech - PAST Extension
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, based on…
- Conditions
- Alzheimer Disease, Preclinical Alzheimer's Disease, Prodromal Alzheimer's Disease, Alzheimer's Disease (Incl Subtypes)
- Trial name
- AMYPRED-PAST (NCT04851496)
- Where
- 4 sites in United Kingdom
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Novoic Limited
Small for Gestational Age Infant, Fetal Growth Restriction
Developing and Testing AI Models for Fetal Biometry and Amniotic Volume Assessment in Fetal Ultrasound Scans.
Routine fetal ultrasound scan during the second trimester of the pregnancy is a low-cost, noninvasive screening modality that has been proven to lower fetal mortality by up to 20%.
- Conditions
- Small for Gestational Age Infant, Fetal Growth Restriction, Oligohydramnios, Polyhydramnios
- Trial name
- NCT05059093
- Testing
- Classification and segmentation deep learning models
- Where
- 6 sites in Morocco
- Volunteers
- 122 people, healthy volunteers welcome
- Sponsor
- Deepecho
Anesthesia Induction
Reinforcement Learned Automatic Anesthesia System During Painless Gastrointestinal Endoscopy
The goal of this clinical trial is to compare the performance difference between trained model and clinical professionals in anesthesia control during gastrointestinal endoscopy.
- Trial name
- AAS-GE (NCT06857344)
- Testing
- AI Controlled General Anesthesia, General Anesthesia (GA)
- Where
- 5 sites in China
- Volunteers
- 164 people, healthy volunteers welcome
- Sponsor
- Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Sepsis, Severe Sepsis
Subpopulation-Specific Sepsis Identification Using Machine Learning
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a subpopulation-optimized…
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- NCT03644940
- Testing
- CustomSight
- Volunteers
- healthy volunteers welcome
- Sponsor
- Dascena
Sedentary Lifestyle
Evaluating PEARL - a Personalized Exercise Assistant Using Reinforcement Learning (Walkmate Study)
To evaluate the impact of two personalized nudging strategies delivered as pop-up notifications via the Fitbit app on user step count.
- Trial name
- NCT07783724
- Testing
- Mobile App Push Notification (Random Selection), Mobile App Push Notification (Behavior Science Heuristics), Mobile App Push Notification (RL)
- Where
- United States
- Volunteers
- 13,463 people, healthy volunteers welcome
- Sponsor
- Fitbit LLC
Sepsis
A Clinical Trial to Evaluate the Efficacy of the Morley Medical Sepsis (MMS) Software Device in Predicting Sepsis in Adult Patients Using Artificial Intelligence (AI) Machine Learning Algorithms
This is a pivotal medical device clinical trial evaluating the clinical outcomes in hospitalized patients monitored with the Morley Medical Sepsis Software Device.
- Trial name
- NCT04606862
- Testing
- Morley Medical Sepsis Software Device
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Morley Medical
Congenital Anomalies, Neonatal Complications
AI-Powered Neonatal Risk Assessment for Improved Perinatal Outcomes
This study aims to develop advanced artificial intelligence (AI) models that predict neonatal risks and complications based on historical multimodal health data, including ultrasound and MRI scans.
- Conditions
- Congenital Anomalies, Neonatal Complications, Perinatal Outcomes, Perinatal Outcomes of the Mother and Fetus
- Trial name
- NCT07064356
- Volunteers
- 50,000 people, healthy volunteers welcome
- Sponsor
- FetalFirst Limited
Intellectual Disability, Developmental Delay
Establishing the Clinical Utility of First StepDx PLUS and NextStepDx PLUS Study
The study uses a randomized controlled study design of pediatric neurologists and developmental pediatricians and front-line (primary care) pediatricians to determine if use of FirstStepDx PLUS and Next StepDx PLUS are associated…
- Trial name
- NCT02414438
- Testing
- FirstStepDX PLUS and NextStepDX PLUS Webinar, FirstStepDX PLUS and NextStepDX PLUS Test Results
- Where
- United States
- Volunteers
- 217 people, healthy volunteers welcome
- Sponsor
- Qure Healthcare, LLC
Environmental Exposure
Minority-focused Environmental Health Education and Tracking Pilot Study
The goal of this study is identify educational material related to EDC exposures that is culturally appropriate for the black community and test the usability of the material. The main questions this study aims to answer are: 1.
- Trial name
- MEET (NCT07461857)
- Testing
- Education curriculum
- Where
- United States
- Volunteers
- 151 people, healthy volunteers welcome
- Sponsor
- Million Marker Wellness, Inc.