Clinical trials: Artificial Intelligence Algorithms
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
Ischemic Stroke
Algorithm Development Through AI for the Triage of Stroke Patients in the Ambulance With EEG
Endovascular thrombectomy (EVT) enormously improves the prognosis of patients with large vessel occlusion (LVO) stroke, but its effect is highly time-dependent.
- Trial name
- AI-STROKE (NCT05437237)
- Testing
- Dry electrode EEG
- Where
- Netherlands
- Volunteers
- 1,192 people
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Neuroblastoma (NB), Prognosis
Risk Model for Metastasis Detection of Neuroblastoma
Neuroblastoma (NB) is the most common extracranial solid tumor in children, accounting for about 15% of tumor-related mortality.
- Conditions
- Neuroblastoma (NB), Prognosis, Bone Marrow Metastasis, Bone Metastases
- Trial name
- NB (NCT06703944)
- Testing
- risk model in diagnosis and prognosis
- Where
- 3 sites in China
- Volunteers
- 500 people
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Bone Scan
Evaluation of an Artificial Intelligence Algorithm Reducing Noise on Fast Whole-body Bone Tomoscintigraphy Acquisitions Recorded by a 360 Degree Cadmium-Zinc-Tellurid Camera
Recently, artificial intelligence algorithms reducing noise by deep learning have been developed with application to SPECT and PET images.
- Trial name
- IATOS2 (NCT06782438)
- Testing
- artificial intelligence algorithm
- Where
- France
- Volunteers
- 20 people
- Sponsor
- Central Hospital, Nancy, France
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.
Artificial Intelligence (AI), Hepatocellular Carcinoma (HCC)
Use of Machine-learning Algorithms, Biomarkers and Measures of Quality of Life to Personalize Medical Management of Liver and Heart Transplant Recipients
This is an observational, low risk tissue based, non-pharmacological, retrospective-prospective study for adults heart and liver transplant patients, related to IRCCS Azienda Ospedaliero-Universitaria di Bologna (IRCCS AOUBO).
- Conditions
- Artificial Intelligence (AI), Hepatocellular Carcinoma (HCC), Heart Transplantation, Liver Transplantation
- Trial name
- DARE (NCT06774768)
- Where
- 2 sites in Italy
- Volunteers
- 1,000 people
- Sponsor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna
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
Heart Failure, Atrial Fibrillation (AF)
AI-Based Cardiac Analysis Using 12-Lead and 1-Lead ECG
This pilot study is designed to evaluate the clinical performance and utility of the SmartECG-EF software in patients undergoing evaluations at Inha University Hospital.
- Conditions
- Heart Failure, Atrial Fibrillation (AF), Electrocardiogram
- Trial name
- NCT07844434
- Testing
- SmartECG-EF
- Where
- South Korea
- Volunteers
- 300 people
- Sponsor
- Inha University Hospital
Anesthesia, General, Postoperative Complications
Pre-operative Characteristics for Prediction of Supraglottic Airway Failure Using Machine Learning (ERICA)
Supraglottic airway devices (SGA) are a safe and well-established technique for airway management. Nowadays, up to 60% of general anaesthetics performed in European countries use SGA.
- Conditions
- Anesthesia, General, Postoperative Complications, Laryngeal Masks, Treatment Failure
- Trial name
- ERICA (NCT06617403)
- Testing
- non
- Where
- 2 sites in Germany
- Volunteers
- 44,000 people
- Sponsor
- University Hospital Ulm
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.
Parkinson
Transforming Parkinson's Care With Predictive Algorithms
Lifestyle interventions can alleviate Parkinson's Disease (PD) symptoms and delay disease progression. The novelty of this project lies in the development of an innovative smart platform that utilizes artificial intelligence (AI)…
- Trial name
- TechHealthPD (NCT06755645)
- Testing
- Lifestyle intervention
- Where
- Spain
- Volunteers
- 200 people
- Sponsor
- University Ramon Llull
Type 1 Diabetes Mellitis
Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)
Bolus Priming (BP) based on Artificial Intelligence (AI) learning of meal patterns, added to our established Automated insulin delivery as Adaptive Network (AIDANET) algorithm and running on iPhone Diabetes Assistant (iDiAs)…
- Trial name
- AIDANET AI (NCT07517770)
- Testing
- Hybrid Closed Loop (HCL) x 2 weeks, AIDANET x 2 weeks, AIDANET AI x 4 weeks
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Sue Brown
Seborrheic Keratoses, Artifical Intelligence
AI in SK Histopathological Diagnosis
The aim of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of Seborrheic keratosis compared to Certified Dermatopathologists.
- Trial name
- AI\SK (NCT07787481)
- Testing
- This study doesn't include an intervention.
- Where
- Egypt
- Volunteers
- 30 people
- Sponsor
- Al-Azhar University
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
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
HCC, Liver Cancer
Artificial Intelligence vs. LIRADS in Diagnosing HCC on CT
Liver cancer is the sixth most commonly diagnosed cancer and the fourth leading cause of cancer death worldwide. It is the 3rd most common cause of cancer death in Hong Kong.
- Trial name
- NCT04843176
- Testing
- Prototype artificial intelligence algorithm, LI-RADS
- Where
- Hong Kong
- Volunteers
- 250 people
- Sponsor
- The University of Hong Kong
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.