Clinical trials: Algorithms
Prostate Cancer, Risk Assessment
PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria
This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk…
- Conditions
- Prostate Cancer, Risk Assessment, Clinical Decision Support Systems, Predictive Value of Tests
- Trial name
- PROACT (NCT07733440)
- Testing
- (a) Training and (b) Supported risk assessment
- Where
- Nigeria
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Ahmadu Bello University
Coronary Artery Disease (CAD), Artificial Intelligence Algorithms
AI Facial Analysis Algorithm to Screening Coronary Artery Disease in High-Risk Community Population
This study aims to evaluate the effectiveness of this facial image-based AI algorithm for screening CAD in high-risk community populations (specifically individuals with diabetes, hypertension, or aged over 65).
- Conditions
- Coronary Artery Disease (CAD), Artificial Intelligence Algorithms, Face, Screening
- Trial name
- NCT07277686
- Testing
- No Intervention
- Where
- 3 sites in China
- Volunteers
- 1,392 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Prediction Hypothyroidism Patients Using Machine Learning Algorithms, Identification of Important Symptoms of Hypothyroidism
Identification of Important Symptoms and Diagnostic Hypothyroidism Patients Using Machine Learning Algorithms
Hypothyroidism (HT) is one of the most common endocrine diseases. It is, however, usually challenging for physicians to diagnose due to non-specific symptoms. The usual procedure for diagnosis of HT is a blood test.
- Trial name
- NCT06112886
- Testing
- There was no intervention in this study
- Where
- Iran
- Volunteers
- 1,296 people, healthy volunteers welcome
- Sponsor
- Kerman University of Medical Sciences
COPD, Cough
A Clinical Validation Study to Evaluate the Diagnostic Accuracy of a Cough-based Auxiliary Diagnosis Algorithm for COPD
Cough is one of the most common symptoms in COPD patients, and its different characteristics in amplitude, frequency and waveform can be analyzed by intelligent algorithms for the auxiliary diagnosis of COPD.
- Conditions
- COPD, Cough, Algorithm
- Trial name
- NCT06082791
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Ruijin Hospital
Energy Metabolism, Algorithms
Estimation of Energy Expenditure and Physical Activity Classification With Wearables
Regular physical activity (PA) is proven to help prevent and treat several non-communicable diseases such as heart disease, stroke, and diabetes.
- Trial name
- EEPAC (NCT05523830)
- Testing
- No Intervention
- Where
- Netherlands
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Maastricht University Medical Center
Algorithm Verification
mCVI Confirmatory Clinical Study: Algorithm Verification With Healthy Volunteers
This single center confirmatory clinical study is to verify the algorithm of mCVI® to accurately capture pulse rate and respiratory rate in 20 healthy subjects in comparison to traditional measurements of the Nonin Lifesense…
- Trial name
- NCT05233319
- Testing
- There is no intervention
- Where
- United States
- Volunteers
- healthy volunteers welcome
- Sponsor
- Intelomed, Inc.
Imaging Data Collection From Dynamic Swallowing MRI in Healthy Volunteers, Create Operating Algorithms
Transposition of Dynamic MRI Data From Healthy Subjects to an in Vitro Swallowing Simulator
Swallowing is a complex process, involving a very fine synchronization of the pharyngo-larynx, with respiration, under the control of the central nervous system and numerous peripheral effectors.
- Conditions
- Imaging Data Collection From Dynamic Swallowing MRI in Healthy Volunteers, Create Operating Algorithms, Apply the Imaging Data of MRI to a Swallowing Simulator
- Trial name
- SWALL-E (NCT05178108)
- Testing
- Real-time MRI of swallowing
- Where
- France
- Volunteers
- 12 people, healthy volunteers welcome
- Sponsor
- University Hospital, Strasbourg, France
Algorithm Verification
mCVI® Lighting Conditions Clinical Study
This single center prospective clinical study is to verify the algorithm of mCVI® in 4 different lighting conditions to accurately capture pulse rate and respiratory rate in 10 healthy subjects in comparison to…
- Trial name
- NCT04811300
- Testing
- There is no intervention
- Where
- United States
- Volunteers
- 9 people, healthy volunteers welcome
- Sponsor
- Intelomed, Inc.
Algorithm Verification
mCVI Pilot Study: Algorithm Verification
This single center pilot study is to verify the algorithm of mCVI® to accurately capture pulse rate and respiratory rate in 10 healthy subjects in comparison to commercially-available Masimo pulse oximeter devices.
- Trial name
- NCT04297644
- Testing
- There is no intervention
- Where
- United States
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Intelomed, Inc.
Algorithm Verification
mCVI Confirmatory Clinical Study: Algorithm Verification
This single center confirmatory clinical study is to verify the algorithm of mCVI® to accurately capture pulse rate and respiratory rate in 20 healthy subjects in comparison to commercially-available Masimo pulse oximeter…
- Trial name
- NCT04692064
- Testing
- There is no intervention
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Intelomed, Inc.
PET Images and Deep Neural Networks Algorithms
Positron Emission Tomography (PET) Images Using Deep Neural Networks
PET images are based on detecting two annihilation 511 KeV photons that are produced by positron emitting isotopes. The longer the acquisition time, the more photons are detected and processed, resulting in better image quality.
- Trial name
- NCT04140565
- Where
- Israel
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Sheba Medical Center