Clinical trials: Machine Learning
Scoliosis Idiopathic Adolescent, Scoliosis
Deep Learning for Early Scoliosis Detection Using mmWave Radar Gait Data
Scoliosis is a sideways curvature of the spine that often develops during childhood and adolescence. When detected early, scoliosis can be managed effectively with non-invasive approaches such as bracing and physiotherapy, while…
- Trial name
- ScoliRadar-AI (NCT07593560)
- Testing
- mmWave Radar Gait Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Gebze Technical University
Deglutition Disorders
The Aspirometer: A Noninvasive Tool for Detecting Aspiration Aim 3
This investigation evaluates the effectiveness of a device called the Aspirometer, which uses high resolution cervical auscultation (HRCA), in detecting when food or liquids enter the airway (aspiration) of the person swallowing…
- Trial name
- NCT06637774
- Testing
- Aspirometer, Videofluoroscopic X-ray
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- University of Pittsburgh
Physical Inactivity
The Effect of a Machine Learning-Based Mobile Application on Physical Activity in Overweight and Obese Women
The goal of this clinical trial is to evaluate the effect of an algorithm-driven mobile application that provides personalized recommendations for increasing physical activity, which is an important health behavior, in the…
- Trial name
- NCT06225518
- Testing
- Individualized physical activity management system
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Istanbul University - Cerrahpasa
Gastric Cancers
Prediction of Postoperative Complications and Survival in Gastric Cancer Using Preoperative Blood Markers
Gastric cancer is one of the most common cancers worldwide, especially in East Asia. Although surgery remains the main treatment, patients may experience postoperative complications and have varying long-term survival outcomes.
- Trial name
- NCT06686966
- Testing
- gastric cancer
- Volunteers
- 3,400 people
- Sponsor
- First Affiliated Hospital of Chongqing Medical University
Cancer, Acute Care Service Utilization
Acute Risk Monitoring for Oncology Therapy Regimen
Patients undergoing outpatient infusion systemic therapy for cancer are at risk for potentially preventable, unplanned acute care in the form of emergency department (ED) visits and hospitalizations.
- Trial name
- ARMOR (NCT07601802)
- Testing
- Medical record review
- Where
- United States
- Volunteers
- 4,740 people
- Sponsor
- University of California, San Francisco
Post-traumatic Stress Disorder
Machine Learning Neurofeedback for PTSD
A commonly used therapy for post-traumatic stress disorder (PTSD) that often (but not always) gives good results is "exposure therapy": When the patient (for example, Veterans who have attacks of anxiety when a noise startles…
- Trial name
- NEUROFPTSD (NCT03482466)
- Testing
- Neurofeedback
- Where
- United States
- Volunteers
- 14 people
- Sponsor
- VA Office of Research and Development
Breast Diseases, Breast Adenocarcinoma
Explore Association Models Between Environmental Hormones andBreast Cancer
investigated the association model between environmental hormone-related living habits and breast cancer, as well as dietary improvement programs through machine learning and clinical validation of patients with breast cancer.
- Trial name
- NCT06765395
- Where
- Taiwan
- Volunteers
- 687 people, healthy volunteers welcome
- Sponsor
- Pei-Hung Liao
Coronary Artery Disease
Clinical Impact of Intravascular Ultrasound-Based Artificial Intelligence Technologies (INNOVATE-PCI)
This study is a prospective, multicenter study in the real practice to validate the diagnostic performances and clinical impact of coronary angiography \& intravascular ultrasound (IVUS)-based models developed by machine learning…
- Trial name
- NCT05807841
- Testing
- percutaneous coronary intervention
- Where
- 16 sites in South Korea
- Volunteers
- 3,000 people
- Sponsor
- Asan Medical Center
Multiple Myeloma (MM)
A Machine Learning Approach to Connect Multiple Myeloma Complexity to Early Disease Recurrence
This is a non-interventional, national, multicenter prospective non-profit observational study aiming at improving the accuracy of risk prediction in multiple myeloma (MM) by applying machine-learning tools for data processing to…
- Trial name
- NCT06767254
- Where
- 4 sites in Italy
- Volunteers
- 200 people
- Sponsor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna
Papillary Thyroid Microcarcinoma
PMRA and Shapley-Based Machine Learning for Predicting Lymph Node Metastasis in Central Subregions of Clinically Node-Negative Papillary Thyroid Microcarcinoma: a Prospective Multicenter Validation and Development of a Web Calculator
Background:Management of clinically node-negative(cN0) papillary thyroid microcarcinoma (PTMC) is complicated by high occult lymph node metastasis (LNM) rates.
- Trial name
- PMRA (NCT06871956)
- Testing
- PMRA and Shapley-Based Machine Learning for Predicting Lymph Node Metastasis in Central Subregions of Clinically Node-Negative Papillary Thyroid Microcarcinoma
- Where
- China
- Volunteers
- 4,882 people
- Sponsor
- First Affiliated Hospital of Chongqing Medical University
Prediabetes (Insulin Resistance, Impaired Glucose Tolerance), Artificial Intelligence Mobile Application
Food-i-Sense Analytics: Integrating AI Into Continuous Glucose Monitoring Data Analysis for Precision Nutrition.
This study aims to improve how we understand and manage blood sugar responses in adults without diabetes. Even in people who appear healthy, blood sugar levels after meals can behave in different ways.
- Trial name
- Food_i Sense (NCT07626658)
- Testing
- Continuous glucose monitoring using a wearable sensor (flash interstitial glucose monitor)
- Volunteers
- 471 people, healthy volunteers welcome
- Sponsor
- IMDEA Food
Sepsis, Patient Deterioration
UMMS Sepsis Early Prediction Score (SEPSys) and RESCUE Score Combined Clinical Trial
This study is designed to test two new risk scores - one designed to predict a patient's four-hour risk of developing sepsis and one designed to predict a patient's four-hour risk of deterioration (cardiac arrest, death…
- Trial name
- NCT06779617
- Testing
- SEPSys, RESCUE
- Where
- 8 sites in United States
- Volunteers
- 150,000 people
- Sponsor
- University of Maryland, Baltimore
Lung Cancers, Pulmonary Lymphomas
PET/CT-Based Image Analysis and Machine Learning of Hypermetabolic Pulmonary Lesions
First, we analyse the types, imaging findings and relevant treatment responses based on PET/CT to complete a more comprehensive view of pulmonary lymphomas.
- Conditions
- Lung Cancers, Pulmonary Lymphomas, Pulmonary Metastases, Benign Pulmonary Diseases
- Trial name
- NCT06602674
- Testing
- Observe the medical images, Feature extraction
- Where
- China
- Volunteers
- 647 people
- Sponsor
- Ruijin Hospital
Emergency Medical Services, Critical Illness
Development of an AI-based Emergency Imaging Multi-Disease Rapid Joint Screening System
Introduction: Early and rapid diagnosis of etiology is often an important part of saving the lives of patients in emergency department.
- Conditions
- Emergency Medical Services, Critical Illness, Emergency Service, Hospital, Machine Learning
- Trial name
- Al-MDS (NCT05974163)
- Testing
- radiomic of CT
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
No Specific Conditions, Weight, Body
Machine Learning and 3D Image-based Modeling for Body Weight Estimation.
The goal of this randomized controlled clinical trial is to [learn about, test, compare etc.] in critically ill or injured cohorts of patients presenting to the Emergency Department.
- Conditions
- No Specific Conditions, Weight, Body, Drug Dose, Weight-Estimation
- Trial name
- NCT06281938
- Testing
- Weight estimation using 3D camera, Standard care weight estimation
- Volunteers
- 320 people
- Sponsor
- Florida Atlantic University
Hypospadias
Identification of Hypospadias Parameters Using Digital Photography and Artificial Intelligence
The goal of this observational study is to develop and validate a digital pattern recognition system based on artificial neural network to determine various parameters in hypospadias.
- Trial name
- ASHOKA (NCT05569863)
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Universitas Indonesia
Left Bundle-Branch Block
Prediction of Outcome by Echocardiography in Left Bundle Branch Block
Patients with left bundle branch block have an increased risk for the development of heart-failure and death. However, risk factors for unfavorable outcomes are still poorly defined.
- Trial name
- EchoLBBB (NCT04293471)
- Where
- Norway
- Volunteers
- 2,000 people
- Sponsor
- University Hospital of North Norway
Arterial Hypertension, Heart Rhythm Disorders
Screening for Cardiac and Cardiac-associated Pathology Using Single-channel Electrocardiogram
It is a prospective, controlled, single-center, observational, non-randomized study. The study is planned to include at least 4000 patients 18 years old and older in the training sample and 1000 patients over 18 years old in the…
- Conditions
- Arterial Hypertension, Heart Rhythm Disorders, Valvular Heart Diseases, Heart Failure
- Trial name
- NCT07396792
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Pressure Injury
Explainable AI for Prospective Pressure Injury Staging
This prospective observational mixed-methods study aims to develop and evaluate an explainable artificial intelligence model for staging pressure injuries using standardized clinical photographs and expert panel-labeled images…
- Trial name
- NCT07891689
- Where
- Turkey (Türkiye)
- Volunteers
- 415 people
- Sponsor
- hatice akaltun
Esophageal Neoplasm
Response Prediction to Neoadjuvant Chemoradiation in Esophageal Cancer Using Artificial Intelligence & Machine Learning
In esophageal carcinoma, neoadjuvant concurrent chemo-radiotherapy (NA-CCRT) followed by surgery is the current standard of care and ample evidence has accumulated supporting the view that complete pathological response (pCR) is…
- Trial name
- QARC (NCT04489368)
- Testing
- Neo-Adjuvant Radiotherapy, Neo-Adjuvant Chemotherapy, Esophagectomy
- Where
- 2 sites in Australia, India
- Volunteers
- 150 people
- Sponsor
- Dr Kundan Singh Chufal