Clinical trials: AI (Artificial Intelligence)
- Condition AI (Artificial Intelligence)
- Funder type Industry (pharma, biotech, devices)
- Age group Children (under 18)
Cardiomyopathies, Cardiac Arrest
AI-powered ECG Analysis Using Willem™ Software in High-risk Cardiac Patients (WILLEM)
WILLEM is a multi-center, prospective and retrospective cohort study. The study will assess the performance of a cloud-based and AI-powered ECG analysis platform, named Willem™, developed to detect arrhythmias and other abnormal…
- Conditions
- Cardiomyopathies, Cardiac Arrest, Cardiac Arrhythmias, Sudden Cardiac Death
- Trial name
- WILLEM (NCT05890716)
- Testing
- AI-powered ECG analysis to detect cardiac arrhythmic episodes
- Where
- 13 sites in Netherlands, Spain
- Volunteers
- 5,342 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Ear Infection
Application of the Belle.AI Comparative Image Reference System for Describing Chronic Ear Infections in Pediatric Patients From Low-Resource Communities
The purpose of this research is to examine the clinical effectiveness of an investigational AI-powered smartphone app that describes the physical characteristics of an otoscopy image. It is not intended to make any diagnosis.
- Trial name
- Otoscopy AI (NCT07025473)
- Testing
- Smartphone-enabled otoscopy
- Where
- United States
- Volunteers
- 20 people
- Sponsor
- BelleTorus Corporation
Healthy
Building an AI to Infer/Predict an Estimated Stool Microbiome Profile
This is a study to collect data to build, evaluate and validate (test) a tool to infer/predict an estimated microbiome (community of microorganisms such as bacteria, fungi and viruses that exists in a particular environment)…
- Trial name
- Poobiome (NCT05847543)
- Testing
- Stool diaper data and sample collection
- Where
- 4 sites in Malaysia, Singapore and 1 more
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Clinical Documentation, Artificial Intelligence
Ambient Audio-Visual Capture for Clinical Documentation and Assessment
AI-powered tools that automatically document clinical conversations are being adopted rapidly in outpatient settings but have not been evaluated in hospital wards.
- Conditions
- Clinical Documentation, Artificial Intelligence, Surgical Education, Medical Education
- Trial name
- BLACKFRAME-AV- (NCT07649772)
- Testing
- BlackFrame ambient audio-visual capture platform
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- BlackFrame.ai
Skin Condition, Dermatology
Application of the Belle.AI Dermatological Image Reference System for Patient Diagnosis in an Active Clinical Setting
The goal of this research study is to test a new, investigational tool that uses artificial intelligence (AI) to help primary care providers assess skin conditions.
- Conditions
- Skin Condition, Dermatology, Dermatology/Skin - Other
- Trial name
- NCT06724627
- Testing
- Dermatology/Skin - Other
- Where
- United States
- Volunteers
- 263 people
- Sponsor
- BelleTorus Corporation
Covid19
Detection of SARS-CoV-2 in Nasopharyngeal Swabs by Using Multi-Spectral Screening System
The aim of this research is to use the Multi-Spectral method to measure the biomolecular fingerprint of the virus directly instead of the virus's RNA (RT-PCR) or the body's immune response (antibody) measurement methods to…
- Trial name
- NCT04860895
- Testing
- AP-23
- Where
- Turkey (Türkiye)
- Volunteers
- 4,400 people, healthy volunteers welcome
- Sponsor
- Fable Biyoteknoloji San ve Tic A.S
Pleural Effusion, Lung Consolidation
Point of Care Ultrasound Lung Artificial Intelligence (AI) Validation Data Collection Study
This study is being conducted to collect image data and relevant clinical data from medical records of patients with suspicion of lung consolidation or pleural effusion.
- Trial name
- AI (NCT04891705)
- Testing
- Lung Ultrasound Scan
- Where
- 5 sites in United States
- Volunteers
- 554 people
- Sponsor
- Philips Clinical & Medical Affairs Global
Skin Cancer Melanoma
AI-Driven Early Detection of Skin Cancer
This study evaluates the feasibility and accuracy of an AI-powered mobile platform (NuvanaDx) for early detection of skin cancer, including melanoma, using smartphone-based imaging.
- Trial name
- Skin Cancer (NCT07144306)
- Testing
- Smartphone-based AI skin lesion analysis (NuvanaDx platform).
- Where
- United Kingdom
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Nuvana Healthcare LTD
Cancer, Metastatic, Cancer
SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry
International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and…
- Conditions
- Cancer, Metastatic, Cancer, Cancer of Pancreas, Cancer of Liver
- Trial name
- NCT03452774
- Testing
- Clinical Trial Matching
- Where
- 68 sites in United States, Puerto Rico
- Volunteers
- 50,000 people
- Sponsor
- Massive Bio, Inc.
Soil Transmitted Helminths, Schistosomiasis Mansoni
Evaluation of an AI-DP for STH Deworming Programs: a Study Protocol
The goal of this observational study is to test a new AI diagnostic tool for detection, specification and quantification of parasitic infections (Ascaris, Trichuris, hookworm and S.
- Trial name
- KAKADU (NCT06055530)
- Testing
- Artificial Intelligence Digital Pathology
- Volunteers
- 1,100 people, healthy volunteers welcome
- Sponsor
- Enaiblers AB
COVID-19
COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics
The aim of the study is to asses the influence of computer aided diagnostic to the process of lung affection quantification on computer tomography in COVID-19 confirmed patients.
- Trial name
- NCT05282056
- Testing
- CAD analysis
- Where
- Romania
- Volunteers
- 200 people
- Sponsor
- Bogdan Bercean
Psychological Stress, Cardiopulmonary Bypass Surgery
CARINAE for Stress Relief in Perioperative Care
Preventing pre-surgical stress can help patients achieve positive outcomes on health and well-being. However, very few patients receive adequate stress relief support prior to a surgical procedure.
- Conditions
- Psychological Stress, Cardiopulmonary Bypass Surgery, Coronary Artery Bypass Surgery, Cardiac Valve Replacement
- Trial name
- CARINAE (NCT05184725)
- Testing
- SaMD CARINAE
- Where
- 5 sites in Italy, Netherlands and 1 more
- Volunteers
- 50 people
- Sponsor
- Adhera Health, Inc.
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
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
Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy
Neonatal Neurological Observation With Video AI
NeoNOVA is a multi-site, prospective, single-arm, silent observational study to determine: among (Population) infants admitted to newborn services during their inpatient hospital stay, whether (Intervention) continuous bedside…
- Conditions
- Neonatal Encephalopathy, Hypoxic-Ischemic Encephalopathy, Sedation, Sleep
- Trial name
- NeoNOVA (NCT07628829)
- Testing
- Continuous bedside video monitoring with AI anatomic landmark tracking for neurologic monitoring
- Where
- 2 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Artemis AI Labs