Clinical trials: Machine Learning, open to volunteers
Familial Pancreatic Cancer, Familial Pancreatic Carcinoma
A Liquid Biopsy for Pancreatic Cancer Early-detection and Disease Monitoring
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy characterized by an asymptomatic early phase, late diagnosis, and poor survival, particularly in individuals who develop disease outside the context of…
- Conditions
- Familial Pancreatic Cancer, Familial Pancreatic Carcinoma, Hereditary Pancreatic Cancer, Hereditary Pancreatitis
- Trial name
- PANXEON (NCT07700992)
- Testing
- PANXEON
- Where
- Italy
- Volunteers
- 600 people
- Sponsor
- Università Vita-Salute San Raffaele
Celiac Disease, Small Bowel Disease
Histomolecular Profiling in Small-Bowel Diseases
This prospective cohort study aims to establish reliable histological reference values for normal small-bowel mucosa, improve histological diagnostic quality in celiac disease, and develop an advanced molecular profile for…
- Conditions
- Celiac Disease, Small Bowel Disease, Refractory Celiac Disease
- Trial name
- Deep Bowel (NCT07556328)
- Where
- 3 sites in Finland
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Tampere University Hospital
Alzheimer's Disease (AD), Frontotemporal Dementia (FTD)
Automated Language Analysis in Neurodegenerative Diseases: Application of Artificial Intelligence Models
This multicenter study aims to characterize the language profiles of patients with various neurodegenerative diseases, including Alzheimer's disease (AD), Primary Progressive Aphasia (PPA), behavioral variant Frontotemporal…
- Conditions
- Alzheimer's Disease (AD), Frontotemporal Dementia (FTD), Parkinsons Disease (PD), Lewy Body Dementia
- Trial name
- AILAN (NCT07906769)
- Testing
- Speech and language Test to support clinical diagnosis
- Where
- Italy
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Istituti Clinici Scientifici Maugeri SpA
Acute Kidney Injury
Effectiveness-Implementation Evaluation of Acute Kidney Injury Decision Support
Study Purpose: This study is testing an artificial intelligence (AI)-powered clinical decision support (CDS) system designed to help emergency department (ED) doctors detect and manage acute kidney injury (AKI) earlier.
- Trial name
- SMART-AKI (NCT06840210)
- Where
- United States
- Volunteers
- 200,000 people
- Sponsor
- Johns Hopkins University
Iron Deficiency, Iron Deficiency Anemias
Assessing Clinical Impact of AI for Iron Deficiency
The goal of this clinical trial is to evaluate whether an AI-based risk notification system integrated into routine clinical care can improve the clinical detection of iron deficiency in adult patients attending Internal…
- Trial name
- NCT07394088
- Testing
- AI Risk Display
- Where
- Taiwan
- Volunteers
- 2,196 people
- Sponsor
- China Medical University Hospital
Stroke
Inpatient Stroke Recovery Using Sensors
This observational trial seeks to assess the feasibility of using non-invasive, portable, real-time body-worn sensors to continuously monitor, quantify, and interpret recovery during inpatient treatment of stroke
- Trial name
- NCT04219670
- Testing
- Wearable sensors
- Where
- United States
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Shirley Ryan AbilityLab
Colonoscopy
External, Multicentre Validation of a Machine-Learning Model to Predict Colonic Adenoma in Indian Adults
Colorectal adenomas are precursors to colorectal cancer (CRC). Accurate pre-procedure risk stratification could optimize colonoscopy yield and resource allocation in India, where adenoma prevalence varies by age, sex, and…
- Trial name
- NCT07329816
- Testing
- Not Applicable / Observational study
- Volunteers
- 1,000 people
- Sponsor
- Asian Institute of Gastroenterology, India
Coronary Artery Disease (CAD), Computed Tomography Angiography
AI-assisted CT for Risk Stratification in Coronary Artery Disease (ACTION)
The goal of this observational study is to learn if AI-assisted cardiac CT imaging can improve cardiovascular risk stratification and prediction of future coronary events in an adult population undergoing clinically indicated…
- Conditions
- Coronary Artery Disease (CAD), Computed Tomography Angiography, Biomarkers, AI (Artificial Intelligence)
- Trial name
- ACTION (NCT07577609)
- Where
- Ireland
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- University of Galway
Diabetes, Diabetes Mellitus, Type 1 Diabetes
Argus 2.0 Adoption Study
This study evaluates the usability of the KOS Argus Continuous Glucose Monitoring (CGM) System, a noninvasive, wrist-worn device that estimates blood glucose levels using light-based sensors and artificial intelligence…
- Conditions
- Diabetes, Diabetes Mellitus, Type 1 Diabetes, Diabetes Mellitus, Type 2, Prediabetes
- Trial name
- NCT07425236
- Testing
- KOS Argus Continuous Glucose Monitoring System
- Where
- United States
- Volunteers
- 100 people
- Sponsor
- KOS Inc.
Pressure Injury
Explainable AI for Prospective Pressure Injury Staging
This prospective observational mixed-methods study aims to develop and evaluate an explainable artificial intelligence model for staging pressure injuries using standardized clinical photographs and expert panel-labeled images…
- Trial name
- NCT07891689
- Where
- Turkey (Türkiye)
- Volunteers
- 415 people
- Sponsor
- hatice akaltun
Gestational Diabetes, Macrosomia, Fetal
Artificial Intelligence and Gestacional Diabetes
Artificial intelligence (AI) technology can assist medical teams in remote monitoring and continuing education of women with gestational diabetes (GDM), potentially improving adherence to interventions and impacting outcomes.
- Trial name
- NCT07345143
- Testing
- monitoring model for women with gestacional diabetes using pharmacological therapy
- Where
- Brazil
- Volunteers
- 100 people
- Sponsor
- JOSE FERNANDO VILELA-MARTIN
Chronic Disease, Risk Assessment
Adult Disease Risk Prediction Using Wearables, Hearing, and Health Data
This prospective cohort study aims to develop and validate a personalized disease risk prediction model for adults by integrating multiple sources of health data.
- Trial name
- NCT07541547
- Where
- Taiwan
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- National Health Research Institutes, Taiwan
Glioma
MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence
This registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and…
- Trial name
- NCT04215211
- Testing
- Survival prediction for glioma patients
- Where
- China
- Volunteers
- 2,500 people
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Obesity Difficult Airway Airway Management
AI-Based Prediction of Difficult Airway in Bariatric Surgery
The aim of this prospective study is to evaluate the accuracy of artificial intelligence (AI) and machine learning algorithms in predicting difficult airways in patients undergoing bariatric surgery.
- Trial name
- AI-Airway (NCT07666074)
- Testing
- Preoperative Airway Assessment and Direct Laryngoscopy
- Where
- Turkey (Türkiye)
- Volunteers
- 340 people, healthy volunteers welcome
- Sponsor
- Elazıg Fethi Sekin Sehir Hastanesi
Body Composition
Validation of Artificial Intelligence-based Digital Anthropometry Applications for Estimating Body Composition.
Anthropometric measurements are commonly employed to evaluate body composition, morphology, and health-related parameters across diverse populations.
- Trial name
- NCT07003516
- Where
- 3 sites in Colombia
- Volunteers
- 130 people
- Sponsor
- Dynamical Business and Science Society - DBSS International SAS
Glioblastoma Multiforme
Neurosurgical Neuronavigation Using Resting State MRI and Machine Learning
This study is investigating the use of a computer algorithm to analyze scans of the brain before surgery to predict how a person's tumor will respond to treatment.
- Trial name
- NCT05864976
- Testing
- Support Vector Machine
- Where
- United States
- Volunteers
- 100 people
- Sponsor
- Washington University School of Medicine
Lung Cancer (Diagnosis), Deep Vein Thrombosis (DVT)
Study of Risk Factors and Prediction of Blood Clots After Lung Cancer Surgery
The goal of this observational study is to learn about the risk factors and prediction of postoperative venous thromboembolism (VTE) in patients undergoing lung cancer surgery.
- Conditions
- Lung Cancer (Diagnosis), Deep Vein Thrombosis (DVT), Venous Thromboembolism (VTE)
- Trial name
- NCT07439991
- Testing
- Prospective Perioperative Data Collection
- Where
- China
- Volunteers
- 900 people
- Sponsor
- The First Hospital of Jilin University
Cardiovascular Diseases, Coronary Artery Disease
Depressive Symptoms After Cardiac Surgery
The primary goal of this project is to develop a predictive model for clinically significant depressive symptoms (CSDS) in patients undergoing coronary artery bypass graft (CABG) surgery, using pre- and perioperative data.
- Conditions
- Cardiovascular Diseases, Coronary Artery Disease, Heart Diseases, Depression
- Trial name
- PCD (NCT06706323)
- Where
- 2 sites in Switzerland
- Volunteers
- 300 people
- Sponsor
- Roland von Känel
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
Temperature Change, Body, Emergency Department Visit
Performance Study of the Thermodiag Solution for Body Temperature Measurement
The goal of this prospective, comparative, multi-centre interventional clinical investigation, is to evaluate the performance of the Thermodiag® medical device, compared with reference methods, for continuous measurement of core…
- Trial name
- ThermodiagPERF (NCT06703931)
- Testing
- Measures performed on all subjects
- Where
- 4 sites in France
- Volunteers
- 60 people
- Sponsor
- F2D Medical