Clinical trials: Artificial Intelligence Algorithms
AI-algorithm Usage
A Prospective Analysis To Assess The Potential Use Of ECGio In Clinical Practice
The goal of this observational study is to learn if an ai-assistive algorithm would be useful in patients who are under suspicion of coronary disease.
- Trial name
- PAPP (NCT07405866)
- Testing
- AI-Assistive Algorithm
- Where
- 4 sites in United States
- Volunteers
- 10,000 people
- Sponsor
- Heart Input Output Inc
Growth; Stunting, Nutritional
Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children
An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's length using images taken by a healthcare professional or parents.
- Trial name
- GAIN (NCT05079776)
- Testing
- Physical length measurement
- Where
- Singapore
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Iron Deficiency
A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Iron Status of Children
An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in children
- Trial name
- FERROUS 2 (NCT06577727)
- Testing
- Gold standard blood test, Imaging and videography of anatomical sites
- Where
- 2 sites in Singapore, Thailand
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Spinal Cord Compression
Validation of AI Lumbar Spine Anatomy Measureing Function
Spinal degeneration and its associated clinical diseases are common ailments in aging societies. With the advent of a super-aging society, the importance of assistive technologies for spinal image interpretation is increasingly…
- Trial name
- Spinal cord (NCT06950411)
- Where
- Taiwan
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- RadiRad Co., Ltd.
Malignant Skin Melanoma T0, Basal Cell Carcinoma
DERM US and EU Validation Study
This study aims establish the effectiveness of Image Analysing Algorithm (DERM) to identify melanoma, Squamous Cell Carcinoma (SCC) and Basal Cell Carcinoma (BCC) when used to analyse dermoscopic images of skin lesions within the…
- Conditions
- Malignant Skin Melanoma T0, Basal Cell Carcinoma, Squamous Cell Carcinoma
- Trial name
- NCT05126173
- Testing
- Deep Ensemble for the Recognition of Malignancy (DERM)
- Where
- 16 sites in United States, Italy
- Volunteers
- 1,111 people
- Sponsor
- Skin Analytics Limited
Melanoma, Melanoma, Skin
AI-based Medical Device Validation for Early Melanoma Detection
The goal of this observational study is to learn if a computer-aided diagnosis (CAD) system can help identify skin cancer (cutaneous melanoma).
- Trial name
- LEGIT_MC_EVCDA (NCT06221397)
- Testing
- AI-based Computer-Aided Diagnosis (CAD) Software for Skin Lesion Analysis.
- Where
- Spain
- Volunteers
- 105 people
- Sponsor
- AI Labs Group S.L
Atrial Fibrillation
Exploratory Study of Apple Watch Electrocardiographic Diagnostic Performance Enhanced by an Artificial Intelligence Algorithm
This observational exploratory prospective study will evaluate the performance on an Artificial Intelligence (AI) solution interpreting ECG (electrocardiogram) collected from an Apple Watch (AI-AW) in the detection of Atrial…
- Trial name
- NCT04792905
- Testing
- Cardiologs
- Where
- France
- Volunteers
- 200 people
- Sponsor
- Cardiologs Technologies
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.
Cardiac Sound, Heart Failure - NYHA II - IV
AI-Optimized Single-Feature Recognition Model for Heart Failure
This prospective, single-center and observational study aims to develop and validate the single-feature artificial intelligence algorithm based on data collected via the wearable ECG patches in patients with heart failure (HF).
- Trial name
- NCT07667452
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Vivalink
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
Obsessive Compulsive Disorder (OCD), Bipolar Disorders
Assess the Utility of a Speech-based Machine Learning Algorithm to Predict Treatment Response to Psychiatric Interventions
This is a research study looking at whether the way people speak can help predict how well they'll respond to certain mental health treatments.
- Conditions
- Obsessive Compulsive Disorder (OCD), Bipolar Disorders, Major Depressive Disorder, Post-Traumatic Stress Disorder, PTSD
- Trial name
- NCT06823024
- Where
- 2 sites in United States
- Volunteers
- 200 people
- Sponsor
- Psyrin Inc.
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
Non Small Cell Lung Cancer, Neoepitopes
AImmune - Artificial Intelligence Algorithm for Identification of Immunogenic Neoepitopes of Cancer to Predict and Boost Patient's Response to Immunotherapies.
The goal of the project is to develop and validate A.I.mmune technology. It performs complex analyses of patients' tumor and immune system state using data derived from next-generation sequencing of tumor and healthy tissue to…
- Conditions
- Non Small Cell Lung Cancer, Neoepitopes, Neoantigens, Immunotherapy
- Trial name
- NCT04145232
- Testing
- Collection of biopsy (FFPE), blood (PBMC) and stool
- Where
- Poland
- Volunteers
- 30 people
- Sponsor
- Ardigen
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.
Atrial Fibrillation, Tachycardia
Electrocardiographic Diagnostic Performance of the Apple Watch Augmented With an Artificial Intelligence Algorithm
The SWAF study will compare the performance of a smartwatch combined with Cardiologs Platform algorithm in the detection of Atrial Fibrillation and other arrhythmias with that measured on a manually read 12-lead ECG in subjects…
- Conditions
- Atrial Fibrillation, Tachycardia, Bradycardia, Premature Supraventricular Beat
- Trial name
- NCT05167058
- Testing
- Cardiologs Platform
- Where
- 3 sites in United States
- Volunteers
- 220 people
- Sponsor
- Cardiologs Technologies