Clinical trials: Artificial Intelligence Algorithms
Anxiety Disorders, Major Depressive Disorder
Acquisition and Analysis of Relationships Between Longitudinal Emotional Signals Produced by an Artificial Intelligence Algorithm and Self-questionnaires Used in the Psychiatric Follow-up of Patients With Mood and/or Anxiety Disorders: a Real-Environment Study.
The worldwide prevalence of anxiety and depression increased massively during the pandemic, with a 25% rise in the number of patients suffering from psychological distress.
- Trial name
- EMOACQ-1 (NCT05988840)
- Testing
- Acquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires.
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Emobot
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.
IVF Outcomes
Ovarian Stimulation Outcomes During a GnRH Antagonist Protocol for In-vitro Fertilization When Comparing Trigger Day Decision by Physicians Versus an Artificial Intelligence-based Algorithm.
To compare the number of mature oocytes following a GnRH antagonist in-vitro fertilization stimulation cycle when comparing trigger day timing decision by physicians versus an artificial intelligence-based algorithm
- Trial name
- NCT07110285
- Testing
- Artificial intelligence-based algorithm
- Where
- Israel
- Volunteers
- 180 people
- Sponsor
- FertilAI
Pregnancy
Clinical Data Collection for Obstetric Ultrasound Algorithms
The goal of this clinical trial is to Collect ultrasound data from pregnant and non-pregnant individuals presenting to multiple study sites.
- Trial name
- MOBUS (NCT06742229)
- Testing
- Research Ultrasound scan
- Where
- 3 sites in United States
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Caption Health, Inc.
Sepsis
A Clinical Trial to Evaluate the Efficacy of the Morley Medical Sepsis (MMS) Software Device in Predicting Sepsis in Adult Patients Using Artificial Intelligence (AI) Machine Learning Algorithms
This is a pivotal medical device clinical trial evaluating the clinical outcomes in hospitalized patients monitored with the Morley Medical Sepsis Software Device.
- Trial name
- NCT04606862
- Testing
- Morley Medical Sepsis Software Device
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Morley Medical
Murmur, Heart, Aortic Valve Stenosis
Development of an Algorithm to Differentiate Heart Murmurs Using Electronic Stethoscopes
The Eko CORE and DUO stethoscopes are FDA-approved electronic devices that have the capacity to record heart sounds. The study seeks to expand murmur detection to include VHD classification through the development of novel ML…
- Conditions
- Murmur, Heart, Aortic Valve Stenosis, Tricuspid Regurgitation, Mitral Regurgitation
- Trial name
- NCT04400513
- Testing
- Use of Eko CORE and Eko DUO electronic stethoscopes
- Where
- United States
- Volunteers
- 1,145 people
- Sponsor
- Eko Devices, Inc.
Length, Weight
A Growth Artificial Intelligence Algorithm for leNgth and Weight Study
This is a data collection and machine learning accuracy testing project that aims to a) collect training data to enhance, by machine learning, an artificial intelligence (AI) algorithm for measuring length in infants and young…
- Trial name
- GAINS (NCT06920550)
- Where
- 4 sites in Netherlands, Poland and 1 more
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Nutricia Research
Acne, Acne Vulgaris
Clinical Workflow Optimization Using Artificial Intelligence for Dermatological Conditions
Artificial intelligence (AI) based on imaging holds tremendous potential to enhance visual diagnostic accuracy in the medical field.
- Conditions
- Acne, Acne Vulgaris, Alopecia, Androgenetic, Pigmented Lesions
- Trial name
- IDEI_2023 (NCT06263413)
- Where
- Spain
- Volunteers
- 150 people
- Sponsor
- AI Labs Group S.L
Frail Elderly Syndrome
A Machine Learning Algorithm to Predict Health Clinical Situations in Primary Healthcare for Frail Older Adults.
Introduction: We developed a machine learning algorithm to predict the risk of emergency hospitalization within the new 7 to 14 days with a good predictive performance (AUC=0.85).
- Trial name
- NCT06013709
- Testing
- PRESAE CARE
- Volunteers
- 1,478 people
- Sponsor
- Presage
Cancer
One Million Cancer Treatment Months
The OMCAT Register aims to provide learning databases in cancer comprising both PRO data using PRO-React and "ground truth" (outcome data verified by the physician during patient examinations).
- Trial name
- OMCAT (NCT04531995)
- Testing
- CANKADO PRO-React Onco
- Where
- 4 sites in Germany
- Volunteers
- 166,000 people
- Sponsor
- Cankado GmbH
Left Ventricular Dysfunction, Heart Failure
Detection of Heart Conditions Using Artificial Intelligence
The purpose of this study is to evaluate how Eko AI performs in the real world, front-line setting where the availability of sophisticated, expensive diagnostic tools is limited, and where there is a premium on detecting VHD…
- Trial name
- NCT04933890
- Testing
- Use of Eko DUO electronic stethoscope
- Where
- United States
- Volunteers
- 68 people
- Sponsor
- Eko Devices, Inc.
Skin Diseases, Skin Condition
Pilot Study: AI Algorithm for Dermatology Referral Optimization
The goal of this observational prospective and analytical study is to validate that the device is a valid tool for improving the adequacy of referrals to dermatology.
- Trial name
- DAO_DERIVATION (NCT06228014)
- Where
- Spain
- Volunteers
- 200 people
- Sponsor
- AI Labs Group S.L
Iron Deficiencies
A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Risk of Iron Deficiency and Anaemia in African Children
An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in African children
- Trial name
- FERROUS 3 (NCT07186205)
- Testing
- Standard blood test, Imaging and videography of anatomical sites
- Where
- 3 sites in Côte d’Ivoire
- Volunteers
- 126 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Lung Cancer, Breast Cancer
Observational Study Evaluate Pathology Practice Use Artificial Intelligence in Patient Suspected Lung and Breast Cancer
A multinational observational study to evaluate the current pathology practices and the utilization of computational pathology plus artificial intelligence algorithms in patients with suspected lung and breast cancer.
- Trial name
- CASCADE (NCT06827132)
- Where
- 2 sites in Brazil, Kenya
- Volunteers
- 603 people
- Sponsor
- AstraZeneca
Acute Coronary Syndrome, Angina Pectoris
Diagnostic Performance of Artificial Intelligence Algorithms in Prediction of Acute Coronary Syndrome Based on White Blood Cell Properties
The goal of this observational study is to evaluate whether artificial intelligence (AI) algorithms can predict or exclude acute coronary syndrome (ACS) in adults using data generated by routine hematology testing.
- Conditions
- Acute Coronary Syndrome, Angina Pectoris, NSTEMI - Non-ST Segment Elevation MI, STEMI - ST Elevation Myocardial Infarction
- Trial name
- NCT06384846
- Where
- Austria
- Volunteers
- 3,350 people, healthy volunteers welcome
- Sponsor
- RobotDreams GmbH
Breast Cancer
A Pilot Study on Use of Liquid Crystal Contact Thermography to Detect Early Breast Cancer
The study was a multicentre, observational, cross-sectional, open and monitored trial involving 274 females who were subject to an examination using liquid crystal contact thermography device as a complementary tool to standard…
- Trial name
- NCT03858738
- Testing
- Thermographic breast examination performed by Braster device
- Volunteers
- 274 people, healthy volunteers welcome
- Sponsor
- Braster S.A.
Diabetic Retinopathy
Simple, Mobile-based Artificial Intelligence AlgoRithms in the Detection of Diabetic ReTinopathy (SMART) Study
This is an observational cross sectional study aimed to evaluate the performance of the artificial intelligence algorithm in detecting any grade of diabetic retinopathy using retinal images from patients with diabetes.
- Trial name
- SMART (NCT03572699)
- Testing
- diabetic retinopathy
- Where
- India
- Volunteers
- 900 people
- Sponsor
- Medios Technologies Pte. Ltd
Autism Spectrum Disorder, Depression - Major Depressive Disorder
Mental Health, Intellectual and Neurodevelopmental Disorder Detection With Artificial Intelligence Models
This study investigates whether AI-driven analysis of speech can accurately predict clinical diagnoses and assess risk for various mental or behavioral health conditions, including attention-deficit/hyperactivity disorder (ADHD)…
- Conditions
- Autism Spectrum Disorder, Depression - Major Depressive Disorder, Anxiety, Generalized, Bipolar Disorder (BD)
- Trial name
- MINDAIM (NCT06792175)
- Testing
- Solicue Machine Learning Models, Mercuria Machine Learning Models
- Where
- 2 sites in United States
- Volunteers
- 500 people
- Sponsor
- Psyrin Inc.
Skin Diseases, Skin Condition
Clinical Validation of AI-Based System for Continuous Remote Monitoring of Patient Severity - Experts' Opinion
The goal of this observational study is to learn if an artificial intelligence (AI) tool, called Legit Health Plus, can track the severity of chronic skin conditions from a distance.
- Trial name
- COVIDX_EVCDAO (NCT06237036)
- Where
- Spain
- Volunteers
- 160 people
- Sponsor
- AI Labs Group S.L
Blood Pressure
Validation of the Blood Pressure Monitoring Function
High blood pressure is a major risk factor for cardiovascular diseases, stroke, and kidney disorders. Accurate blood pressure monitoring is crucial for the diagnosis, treatment, and prevention of complications related to high…
- Trial name
- NCT06104501
- Testing
- RadiHeart
- Volunteers
- 170 people, healthy volunteers welcome
- Sponsor
- RadiRad Co., Ltd.