Clinical trials: Artificial Intelligence Algorithms
Health Promotion
Developing Intelligent Wearable Algorithms
Physical activity (PA) is one of the few behaviors that individuals can change on their own, incurring minimal costs while simultaneously yielding significant health benefits.
- Trial name
- DIWAH (NCT06169020)
- Testing
- Resting and maximal oxygen consumtion, Free living energy expenditure
- Where
- Sweden
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Linnaeus University
Sleep Apnea, Obstructive, Sleep Staging
Development and Clinical Validation of Artificial Intelligence Algorithms for Sleep Staging and Obstructive Sleep Apnea Screening Based on a Large-Scale Model Trained on Multimodal Physiological Signals From Diverse Populations
In recent years, wearable and contactless devices, including smart rings, smart bands/watches, and smart mattresses, have developed rapidly and can continuously collect multidimensional data such as heart rate, oxygen saturation…
- Conditions
- Sleep Apnea, Obstructive, Sleep Staging, Screening
- Trial name
- NCT07908160
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Peking University First Hospital
Growth; Stunting, Nutritional
Assessing a Height Artificial Intelligence Algorithm to Estimate Height of Children
An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's height using images taken by a healthcare professional or parents.
- Trial name
- INFER (NCT06578338)
- Testing
- Physical height measurement
- Where
- Singapore
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Glaucoma, Age-Related Macular Degeneration
Detecting Eye Diseases Via Hybrid Deep Learning Algorithms From Fundus Images
Eye health is of great importance for quality of life. Some eye diseases can progress and cause permanent damage up to vision loss if they are not treated early.
- Conditions
- Glaucoma, Age-Related Macular Degeneration, Retinal Vein Occlusion, Diabetic Retinopathy
- Trial name
- NCT06213896
- Testing
- Mydriatic Agent, Color Fundus Photography, EyeCheckup v2.0
- Where
- Turkey (Türkiye)
- Volunteers
- 1,528 people, healthy volunteers welcome
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Axial Spondyloarthritis (AxSpA)
Retrospective Case-Control Study for Developing an Artificial Intelligence (AI) Tool for Lesion Detection Using Magnetic Resonance Imaging (MRI) and Clinical Variables for Early Diagnosis of Axial Spondyloarthritis (axSpA)
The goal of this observational study is to develop and validate an Artificial Intelligence (AI) tool that allows the lesion detection and early diagnosis of axial spondyloarthritis (axSpA) based on Magnetic Resonance Imaging…
- Trial name
- InnovaDetect (NCT06591481)
- Where
- 7 sites in Jordan, Saudi Arabia and 2 more
- Volunteers
- 925 people, healthy volunteers welcome
- Sponsor
- Ángel Alberich Bayarri
Inflammatory Bowel Disease (IBD)
Prospective Intestinal Ultrasound Study for Artificial Intelligence Algorithm Development
This observational study will use intestinal ultrasound images to help develop computer programs that may make it easier to assess bowel inflammation.
- Trial name
- PSIUSAD (NCT07814274)
- Testing
- De-identified Intestinal Ultrasound Data Collection
- Where
- Canada
- Volunteers
- 95 people, healthy volunteers welcome
- Sponsor
- University of British Columbia
Glaucoma, Diabetic Retinopathy
Glaucoma Algorithm Validation Study in African Population - the MAGIC Study
Artificial Intelligence (AI) algorithms require validation in a variety of populations to ensure widespread clinical applicability.
- Trial name
- MAGIC (NCT06552247)
- Testing
- Fundus Picture AI testing
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Centro Hospitalar Universitário Lisboa Norte
Murmur, Heart, Innocent Murmurs
Real-World Evaluation of Eko Algorithms in a Point of Care Setting
The purpose of this research is to prospectively test and validate the utility of Eko artificial intelligence (AI) plus Eko Murmur Analysis Software (EMAS) murmur characterization in algorithm in a real world, point-of-care…
- Conditions
- Murmur, Heart, Innocent Murmurs, Heart Murmurs, Pathologic Murmur
- Trial name
- NCT05459545
- Testing
- Use of Eko CORE and Eko CORE 500 electronic stethoscope
- Where
- 5 sites in United States
- Volunteers
- 371 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Benign Prostate Hypertrophy(BPH), Prostate Cancer (Diagnosis)
Application of Quantum Detection-Driven Artificial Intelligence Algorithms for Single-Molecule cfDNA Characterization in the Early Diagnosis of Prostate Cancer
This research project aims to develop a novel blood testing method integrating cutting-edge quantum sensing and artificial intelligence technologies to achieve precise, non-invasive early diagnosis of prostate cancer.
- Conditions
- Benign Prostate Hypertrophy(BPH), Prostate Cancer (Diagnosis), Prostate Neoplasm
- Trial name
- NCT07238959
- Testing
- Quantum Detection
- Where
- 7 sites in China
- Volunteers
- 1,100 people, healthy volunteers welcome
- Sponsor
- Shanghai Changzheng Hospital
Cardiac Disease, Ventricular Arrythmia
Development of an Artificial Intelligence Algorithm to Detect Pathological Repolarization Disorders on the ECG and the Risk of Ventricular Arrhythmias
Torsades de Pointes (TdP) are potentially fatal ventricular arrhythmias that are promoted by prolonged ventricular repolarization (Long QT, LQT).
- Trial name
- DEEPECG4U (NCT05829993)
- Where
- France
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Spleen Injury, Machine Learning
Deep Learning Algorithm for Traumatic Splenic Injury Detection and Sequential Localization
Spleen laceration is a lethal abdominal trauma and usually be diagnosed by medical images such as computed tomography. Deep learning had been proved its usage in detect abnormalities in medical images.
- Trial name
- NCT05643612
- Testing
- Deep learning algorithm
- Where
- Taiwan
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Chang Gung Memorial Hospital
Respiratory, Lung
Feasibility of AI-based Classification of Normal, Wheeze and Crackle Sounds From Stethoscope in Clinical Settings
Assessing the feasibility and testing the accuracy of the developed artificial intelligence algorithms for detection of wheezes and crackles in patients with lung pathologies in clinical settings on unseen local patient data…
- Trial name
- NCT05268263
- Testing
- Artificial Intelligence Algorithm
- Where
- Pakistan
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Innova Smart Technologies (Pvt.) Ltd
Coronary Artery Disease (CAD), Artificial Intelligence Algorithms
AI Facial Analysis Algorithm to Screening Coronary Artery Disease in High-Risk Community Population
This study aims to evaluate the effectiveness of this facial image-based AI algorithm for screening CAD in high-risk community populations (specifically individuals with diabetes, hypertension, or aged over 65).
- Conditions
- Coronary Artery Disease (CAD), Artificial Intelligence Algorithms, Face, Screening
- Trial name
- NCT07277686
- Testing
- No Intervention
- Where
- 3 sites in China
- Volunteers
- 1,392 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Fetal Anomaly, Brain Malformation
Artificial Intelligence Algorithm for the Screening of Abnormal Fetal Brain Findings at First Trimester Ultrasound Scan
Visualization of the posterior fossa brain spaces, their spatial relationship and measurements can be obtained in the midsagittal view of fetal head, the same used for NT measurement (9), and plays an important role in the early…
- Trial name
- AIRFRAME (NCT05790473)
- Testing
- Artificial Intelligence
- Where
- Italy
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS