Clinical trials: AI (Artificial Intelligence), active
Lung Carcinoma, Lung Non-Small Cell Carcinoma
Stereotactic Body Radiation Therapy Planning With Artificial Intelligence-Directed Dose Recommendation for Treatment of Primary or Metastatic Lung Tumors, RAD-AI Study
This phase II trial tests the effectiveness and safety of artificial intelligence (AI) to determine dose recommendation during stereotactic body radiation therapy (SBRT) planning in patients with primary lung cancer or tumors…
- Conditions
- Lung Carcinoma, Lung Non-Small Cell Carcinoma, Metastatic Malignant Neoplasm in the Lung, Stage I Lung Cancer AJCC v8
- Trial name
- NCT05802186
- Testing
- Computed Tomography, Magnetic Resonance Imaging, Positron Emission Tomography
- Where
- United States
- Volunteers
- 70 people
- Sponsor
- Northwestern University
Epilepsy, Seizure
AI-Based Mobile Intervention on Medication Non-Adherence and Transition
This study aims to examine whether the AI-personalized version of the Medilepsy® app is more effective than the non-AI (standard version without AI personalization) can improve key outcomes, such as medical adherence and…
- Trial name
- NCT07445074
- Testing
- Medilepsy® Chatbot AI-Enhanced, Medilepsy® Chatbot Standard
- Where
- 2 sites in United States
- Volunteers
- 200 people
- Sponsor
- University of Central Florida
Solid Tumor Malignancy, Breast Cancer
Ataraxis Real-World Clinical Outcomes Registry Linking AI-Based Pathology Scores to Patient Outcomes
The ARC Registry is a large-scale, multi-site, prospective, observational registry. All patients with a solid tumor malignancy who receive Ataraxis testing as part of routine clinical care are eligible for enrollment, which will…
- Trial name
- ARC (NCT07706842)
- Testing
- Ataraxis testing
- Volunteers
- 1,000 people
- Sponsor
- Ataraxis AI, Inc.
Thoracic Diseases, Lung Diseases
AI-Based Assessment of Chest Diseases on Chest X-ray Imaging Using DenseNet-121 and a CheXpert-Trained Model
Chest X-rays are widely used to detect thoracic and lung conditions, but reviewing high volumes of radiographs can lead to workload strain and variation between interpreters.
- Trial name
- NCT07834879
- Volunteers
- 100 people
- Sponsor
- Assiut University
Depression - Major Depressive Disorder, Anxiety Disorders
AI-Guided CBT for Depression and Anxiety
This study aims to evaluate the effectiveness of an artificial intelligence (AI)-guided cognitive behavioral therapy (CBT) program for the treatment of mild depression and anxiety disorders in adults.
- Trial name
- AI-CBT-DA (NCT07576686)
- Testing
- AI-Guided Cognitive Behavioral Therapy, Cognitive Behavioral Therapy (CBT)
- Where
- Serbia
- Volunteers
- 120 people
- Sponsor
- Aleksandra Stojanovic
Breast Cancer
A Study on Predicting the Risk of Distant Metastasis in Breast Cancer Using AI-Generated Spatial Pathological Maps
The goal of this observational study is to develop and validate an artificial intelligence (AI) model for predicting the risk of distant metastasis in patients with primary breast cancer.
- Trial name
- ARGUS project (NCT07244094)
- Testing
- Diagnostic Test: AI-Based Spatial Pathomic Analysis
- Where
- 4 sites in China
- Volunteers
- 400 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Prostate Cancer, Castration-Resistant Prostate Cancer
AI Multimodal Model for Predicting CRPC Progression Risk
This study aims to develop an artificial intelligence model to predict which patients with advanced prostate cancer are at higher risk of developing castration-resistant prostate cancer (CRPC), a more severe form of the disease.
- Trial name
- AI-MM_CPRC (NCT07658573)
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Guangxi Medical University
Ovarian Cancer, Ovarian Tumor
AI Analysis of CT Scans to Classify Ovarian Tumours as Benign, Borderline or Malignant Before Surgery
The goal of this observational study is to learn if a computer program can tell what type of ovarian tumour a person has from a CT scan taken before surgery. The program uses artificial intelligence (AI).
- Conditions
- Ovarian Cancer, Ovarian Tumor, Borderline Ovarian Tumor
- Trial name
- OvaClass (NCT07883551)
- Where
- 7 sites in Belgium, Netherlands
- Volunteers
- 1,300 people
- Sponsor
- Catharina Ziekenhuis Eindhoven
Atrial Fibrillation, Atrial Arrhythmia
Clinical and Healthcare Economic OutcoMes From ReAl-worlD Use in Europe of an AI Software During AF Ablation
The goal of this Observational Prospective Multi-center Study is to observe the acute and long-term safety and performance outcomes after spatiotemporal dispersion-based AF/AT ablation utilizing the Volta Medical AI software in…
- Conditions
- Atrial Fibrillation, Atrial Arrhythmia, Arrhythmias, Cardiac
- Trial name
- COMRADE-AI (NCT06083012)
- Testing
- Cardiac mapping
- Where
- 7 sites in France, Germany
- Volunteers
- 186 people
- Sponsor
- Volta Medical
Acute Myocardial Infarction, Heart Failure
The Benefits of Wearable AI in Post-Discharge Management of AMI Patients
Myocardial infarction (MI) remains a major threat to human health. Although interventional treatment techniques have advanced rapidly, many patients still experience major adverse cardiovascular events (MACE) and require hospital…
- Trial name
- NCT07288229
- Testing
- Optimized Integrated Management Based on AI-Guided Wearable Data
- Volunteers
- 200 people
- Sponsor
- RenJi Hospital
Premature Coronary Heart Disease
Effectiveness of an AI-Enabled Stratified Management System for Premature Coronary Artery Disease
The goal of this clinical trial is to learn if an AI-enabled stratified management system (SMART-CHD) can improve post-discharge outcomes in adults aged 18-45 with premature coronary artery disease.
- Trial name
- SMART-CHD (NCT07031531)
- Testing
- AI-Enabled Stratified Management System, Usual Post-Discharge Care
- Where
- 16 sites in China
- Volunteers
- 4,900 people
- Sponsor
- China National Center for Cardiovascular Diseases
Contouring, Segmentation
Locally Optimised Contouring With AI Technology for Radiotherapy
LOCATOR is a multicentre phase II randomised clinical trial that is looking at the process of contouring in radiation treatment for breast cancer patients.
- Conditions
- Contouring, Segmentation, Radiation Therapy, Artificial Intelligence
- Trial name
- LOCATOR (NCT06546592)
- Testing
- AI assisted contouring
- Where
- 3 sites in Australia
- Volunteers
- 444 people, healthy volunteers welcome
- Sponsor
- Royal North Shore Hospital
Chronic Kidney Disease
Behavioral AI to Predict and Increase Peritoneal Dialysis Uptake
Scaled Insights Behavioral AI will be used to improve clinicians ability to detect and understand: The likelihood of patients with kidney failure opting for peritoneal dialysis and to select the right personalized nudge to get…
- Trial name
- AI (NCT06533254)
- Testing
- Predicting choice of dialysis, Behavioral nudges
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Scaled Insights
Fetal Growth Restriction (FGR)
AI-Based Ultrasound Prediction of Pregnancy Outcomes in Placental-Related Fetal Growth Restriction (MVM-FGR): A Prospective Cohort Study
The goal of this prospective cohort study is to enroll pregnancies complicated by placental-related fetal growth restriction (FGR) and to develop predictive models for adverse short- and long-term outcomes.
- Trial name
- NCT07473739
- Testing
- new ultrasound index and MRI
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Perioperative Care, Hemodynamics
ImPortance of Arterial Measurement Sites (IPAMS) on Intraoperative Hemodynamic Management
The goal of this clinical trial is to demonstrate the importance of arterial pressure measurement sites during major abdominal surgeries.
- Conditions
- Perioperative Care, Hemodynamics, Monitoring Blood Pressure, Arterial Lines
- Trial name
- IPAMS (NCT06982001)
- Testing
- Brachial line guided hemodynamic management, Radial line guided hemodynamic management, Radial line catheterization
- Where
- Canada
- Volunteers
- 204 people
- Sponsor
- Ciusss de L'Est de l'Île de Montréal
Pituitary Adenoma
AI in Endoscopic Transsphenoidal Surgery
This study focuses on bringing artificial intelligence into the operating room to assist with pituitary tumour surgeries performed through the nose.
- Trial name
- NCT07568366
- Testing
- Live intra-op AI analysis of endoscopic video feed, with output displayed on supplementary monitor
- Where
- United Kingdom
- Volunteers
- 30 people
- Sponsor
- University College, London
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
Hearing Loss
AI Noise Reduction in Phonak Hearing Aids
The purpose of this study is to determine if artificial intelligence- based noise reduction can offer objective improvement in hearing and speech perception for hearing impaired patients.
- Trial name
- NCT06743295
- Testing
- DEEPSONIC™ Deep Sound Optimized Neural Integrated Chip Artificial intelligence-based noise reduction
- Where
- United States
- Volunteers
- 500 people
- Sponsor
- Mayo Clinic
Patient With an Appointment for an Abdominal CT Scan and Able to Stand up for Height Measurement
Automated and Reliable Estimation of Patient Height From CT Scan Using an Artificial Intelligence Algorithm
The TAILLE study is a single-center, non-interventional (RIPH3), uncontrolled, non-randomized, open-label study.prospective study conducted at CHU Grenoble Alpes.
- Trial name
- TAILLE (NCT07864857)
- Where
- France
- Volunteers
- 200 people
- Sponsor
- University Hospital, Grenoble
Motor Disorders
Combined Artificial Intelligence and Mobile Application for Remote Infant Motor Screening: Development and Validation
The purpose of this study is therefore five-fold: (1) designation of an APP "Baby Go" version 3.0 to include the assessment, follow-up, and education functions for parental use at home, (2) development and validation of the AI…
- Trial name
- NCT06521918
- Where
- Taiwan
- Volunteers
- 242 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital