Clinical trials: Algorithm
Aortic Stenosis
ECG-based AI Screening for Cases of Undiagnosed Moderate-to-Severe Aortic Stenosis in the Primary Care Setting
The goal of this observational study is to learn whether AccurKardia's AK-AVS algorithm can help identify moderate-to-severe aortic stenosis (AS), a narrowing of the heart's aortic valve, in older adults who have not yet been…
- Trial name
- NCT07827105
- Testing
- AK-AVS
- Where
- United States
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- AccurKardia, Inc.
Chronic Pain
Development of a Medical Device Utilizing an EEG-Based Algorithm for the Objective Quantification of Pain
Obtained 19 lead EEG data from 50 chronic pain patients along with their clinical history and self-reported pain scored. Machine learning was used to analyze the EEG data and derive a chronic pain biomarker.
- Trial name
- NCT03998007
- Testing
- IRIS System
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- PainQx, Inc
Atrial Fibrillation, Persistent
FLOW-AF: A Study to Evaluate Electrographic Flow™ (EGF) Mapping Technology
This study is to evaluate Electrographic Flow™ (EGF) mapping algorithm technology (Ablamap® Software).
- Trial name
- FLOW-AF (NCT04473963)
- Testing
- Electrographic Flow™ guided ablation
- Where
- 4 sites in Czechia, Germany and 1 more
- Volunteers
- 85 people
- Sponsor
- Cortex
Blood Pressure
ModPG3 Adult/Ped ISO 81060-2:2018 Study Protocol
Automated blood pressure cuff measurements taken by an "oscillometric device" is the standard in numerous medical settings today.
- Trial name
- NCT05654714
- Testing
- ModPG3 Investigational Device, Auscultatory Equipment
- Where
- Italy
- Volunteers
- 152 people, healthy volunteers welcome
- Sponsor
- Welch Allyn
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
Newborn Jaundice
Assessment of Neonatal Hyperbilirubinemia by NeoprediX B.1 Algorithm
Due to actual standard of neonatal care bilirubin is monitored in neonates several times after birth to avoid hyperbilirubinemia.
- Trial name
- Bili-PrediX1 (NCT05121311)
- Testing
- NeoprediX B1 algorithm
- Where
- 2 sites in Germany
- Volunteers
- 455 people
- Sponsor
- NeoPredix AG
Patients With Compensated Liver Cirrhosis
Assessing Portal Hypertension With Methacetin Breath Test
This study will be used to train an algorithm using Methacetin breath test (MBT) measures and to select a cut-off to determine presence or absence of Clinically Significant Portal Hypertension (CSPH) as defined by Hepatic Venous…
- Trial name
- NCT02143778
- Testing
- Methacetin Breath Test
- Where
- 8 sites in United States, France and 2 more
- Volunteers
- 246 people
- Sponsor
- Meridian Bioscience, Inc.
Metabolic Syndrome
Cardiovascular Risk Evaluation in Clinical Practice in Metabolic Syndrome Patients
Metabolic syndrome is commonly defined as a set of risk factors and abnormalities that markedly increase the risk of cardiovascular events.
- Trial name
- NCT00171548
- Where
- Switzerland
- Volunteers
- 600 people
- Sponsor
- Novartis
COPD
In This Study, the Sponsor Would Like to Collaborate with Institution and Investigator to Aggregate Participants Data and to Pilot Its Software Algorithm Using Machine Learning and Threshold Based Methods for Predicting Exacerbations and Deterioration Within a 60 Days Period Post-discharge
In this study, the sponsor would like to collaborate with Institution and Investigator to aggregate participants data and to pilot its software algorithm using machine learning and threshold based methods for predicting…
- Trial name
- NCT06798688
- Testing
- A non-invasive cardio-respiratory sensor will be applied on the subjects to measure parameters to identify exacerbations
- Volunteers
- 20 people
- Sponsor
- Respiree Pte Ltd
Urinary Incontinence
Data Collection for Development of a Bladder Sensor During Urodynamics
This is an explorative, single-center, feasibility study using a prototype of a future Bladder Sensor to collect data during urodynamics.
- Trial name
- NCT05305846
- Testing
- TENA-PROTO2
- Where
- Netherlands
- Volunteers
- 66 people
- Sponsor
- Essity Hygiene and Health AB