Clinical trials: AI (Artificial Intelligence), open to volunteers
Degenerative Lumbar Spine Diseases
Digital Health for Lumbar Degeneration
This study will integrate wireless wearable sensors, smartphone imaging, and multimodal artificial intelligence (AI) to address the rehabilitation needs of patients with lumbar degeneration.
- Trial name
- NCT07133724
- Testing
- AI-Based Smart Assessment and Rehabilitation Training
- Where
- Taiwan
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Infertility, Ovarian Stimulation
AI-TOP Study Artificial Intelligence for Trigger Optimization.
To evaluate, in a randomized controlled trial, whether AI-guided monitoring and ovulation triggering leads to clinical outcomes comparable to those achieved through physician-led decision-making in patients undergoing ovarian…
- Conditions
- Infertility, Ovarian Stimulation, Artificial Intelligence
- Trial name
- AI-TOP (NCT07515118)
- Testing
- STIMAI®., Routine clinical management
- Where
- 5 sites in Spain
- Volunteers
- 644 people
- Sponsor
- Fundacion Dexeus
Generalized Anxiety, Fear of Failure
Optimization of Late Imagery Rescripting Research Using Generative Artificial Intelligence
The aim of the study is to examine the effect of imagery rescripting (ImRs) in the context of utilizing large language models (LLMs).
- Conditions
- Generalized Anxiety, Fear of Failure, Rumination
- Trial name
- ImRs_LLM_DeanG (NCT07565714)
- Testing
- Imagery Rescripting Intervention
- Where
- 2 sites in Poland
- Volunteers
- 40 people
- Sponsor
- University of Social Sciences and Humanities, Warsaw
Anxiety Disorders
Validation of the Accuracy of an AI-Based System for Diagnosing Anxiety Disorders
The trial aimed to evaluate the efficacy of an artificial intelligence-based system for diagnosing anxiety disorders. Specifically, it sought to determine whether the system's assessment validity is non-inferior to that of…
- Trial name
- NCT07311655
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Shanghai Mental Health Center
Delirium in the Intensive Care Unit, Sleep Quality
Precision ICU Care: Evaluating an AI-Driven Nursing Decision Support System for Delirium Prevention
Delirium affects up to 83% of mechanically ventilated patients in the Intensive Care Unit (ICU), often leading to longer hospital stays and long-term memory or cognitive problems.
- Trial name
- NCT07631494
- Testing
- MLP-based Clinical Decision Support System (MLP-CDSS), VR-based Cognitive Intervention, VR-assisted Early Mobility Exercise
- Where
- Taiwan
- Volunteers
- 188 people, healthy volunteers welcome
- Sponsor
- Taipei Medical University
Antenatal Care, Maternal Health
AI Blind-Sweep Ultrasound for Antenatal Screening by Non-Specialist Health Workers in Rural DR Congo
FS2 evaluates the diagnostic accuracy and implementation feasibility of an AI-assisted blind-sweep obstetric ultrasound (SPAQ E-con AI), operated by trained non-specialist health workers, for antenatal screening in rural…
- Conditions
- Antenatal Care, Maternal Health, Gestational Age, Placenta Praevia
- Trial name
- FS2 (NCT07677670)
- Testing
- SPAQ E-con AI blind-sweep ultrasound
- Where
- Democratic Republic of the Congo
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- SOIK Corporation Sarl
Congenital Heart Disease (CHD), Ventricular Septal Defects (VSD)
A Multimodal AI Prediction Model for Complications After Transcatheter Closure of Perimembranous VSD in Children
The goal of this observational study is to develop and validate a multimodal artificial intelligence prediction model for treatment-related complications in children with perimembranous ventricular septal defect (pmVSD)…
- Conditions
- Congenital Heart Disease (CHD), Ventricular Septal Defects (VSD), Cardiac Catheterization, Postoperative Complications
- Trial name
- NCT07375602
- Where
- China
- Volunteers
- 5,249 people
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Hepatic Disease, Biliary Disease
Development and Prospective Validation of an AI-Based Diagnostic Model for Hepato-Pancreato-Biliary Diseases
The rapid advancement of artificial intelligence (AI) has expanded its applications in healthcare, particularly in diagnostic assistance, intelligent triage, and patient interaction.
- Conditions
- Hepatic Disease, Biliary Disease, Pancreas Disease, Artificial Intelligence (AI) in Diagnosis
- Trial name
- NCT07716670
- Testing
- AI Integration type 1, AI Integration type 2
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
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)
- Where
- Spain
- Volunteers
- 471 people, healthy volunteers welcome
- Sponsor
- IMDEA Food
Metabolic Disease
AI Models for Non-invasive Glycaemic Event Detection Using ECG in Type 1 Diabetics
This observational study aims to recruit up to thirty T1DM patients from a diabetic outpatient clinic at the University Hospital Coventry and Warwickshire for a two-phase study.
- Trial name
- NCT05461144
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- University Hospitals Coventry and Warwickshire NHS Trust
OMI - Occlusion Myocardial Infarction, Artificial Intelligence (AI)
The Impact of Artificial Intelligence Electrocardiography on Occlusion Myocardial Infarction Management Under the Value-Based Payment System
This trial will prospectively evaluate the impact of integrating AI-ECG within the pay-for-performance program on improving the diagnosis, treatment, and clinical outcomes of occlusion myocardial infarction patients by promoting…
- Conditions
- OMI - Occlusion Myocardial Infarction, Artificial Intelligence (AI), Electrocardiogram, Cost-effectiveness Analysis
- Trial name
- NCT06887699
- Testing
- AI-ECG P4P program
- Where
- 3 sites in Taiwan
- Volunteers
- 212,000 people
- Sponsor
- National Defense Medical Center, Taiwan
Gynecological Examination, Artificial Intelligence (AI)
The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction
Gynecological cancers, particularly cervical, ovarian, and endometrial cancers, pose a global problem. Cervical cancers are quite common worldwide, and this rate is even higher in developing countries.
- Conditions
- Gynecological Examination, Artificial Intelligence (AI), Patient Satisfaction, Anxiety
- Trial name
- NCT07599358
- Testing
- AI-assisted education
- Volunteers
- 114 people, healthy volunteers welcome
- Sponsor
- Fenerbahce University
Colonic Polyp, Artificial Intelligence
Autonomous Artificial Intelligence Versus AI Assisted Human Optical Diagnosis
Computer-aided image-enhanced endoscopy can predict the nature of colorectal polyps with over 90% accuracy. This technology uses artificial intelligence (AI) to analyze video recordings of polyps, learning to make diagnoses in…
- Trial name
- CADx-Prosp (NCT06543862)
- Testing
- CADx (AI) system
- Where
- Canada
- Volunteers
- 540 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Stroke, Intracerebral Hemorrhage
AI-assisted Transcranial Duplex Sonography for Early Detection of Intracerebral Haemorrhage: HYPER-AI-SCAN
The goal of this observational study is to evaluate whether transcranial Doppler ultrasound, combined with artificial intelligence (AI), can help identify intracerebral haemorrhage (ICH) in people with acute stroke (both men and…
- Conditions
- Stroke, Intracerebral Hemorrhage, Intracerebral Hemorrhage Basal Ganglia, Intracerebral Haemorrhage
- Trial name
- NCT07319013
- Where
- Spain
- Volunteers
- 500 people
- Sponsor
- Hospital Universitari Vall d'Hebron Research Institute
Pancreatic Cancer, Diabetes
Artificial Intelligence-based Early Screening of Pancreatic Cancer and High Risk Tracing (ESPRIT-AI)
Pancreatic cancer is one of the most fatal malignancies with a 5-year survival rate of only ~6%[1]. The reasons for this high mortality rate can be attributed to several factors, of which perhaps the most important is delayed…
- Conditions
- Pancreatic Cancer, Diabetes, Familial Pancreatic Cancer, Pancreatic Cystic Neoplasm
- Trial name
- ESPRIT-AI (NCT04743479)
- Testing
- high-resolution MRI/CT examinations
- Where
- China
- Volunteers
- 5,000 people
- Sponsor
- Changhai Hospital
Pancreatic Cancer, Pancreatitis
Validation of Joint-AI in Diagnosing Pancreatic Solid Lesions
This clinical trial aims to learn if a multimodal artificial intelligence (AI) model can enhance the diagnosis of pancreatic solid lesions. The main questions it aims to answer are: 1.
- Conditions
- Pancreatic Cancer, Pancreatitis, Pancreatic Neuroendocine Neoplasms (pNETs), Autoimmune Pancreatitis
- Trial name
- NCT06753318
- Testing
- The assistance of the Joint-AI model, The assistance of the interpretable Joint-AI model
- Where
- China
- Volunteers
- 716 people
- Sponsor
- Huazhong University of Science and Technology
AI Companionship
How Do Artificially Intelligent Companions Influence Psychological Outcomes?
This randomized longitudinal study examines how interacting with an artificially intelligent (AI) companion affects psychological well-being, social experiences, and interpersonal attitudes and behaviors over time.
- Trial name
- NCT07858279
- Testing
- AI Companion Interaction
- Where
- United States
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- University of Michigan
Gastric Cancer (GC), Locally Advanced Gastric Cancer
Multimodal AI for Predicting Response to Neoadjuvant Immunotherapy in Gastric Cancer (PRISM-GC)
Gastric cancer is a major global health challenge. Currently, a combination of chemotherapy and immunotherapy (PD-1 inhibitors) is frequently used before surgery to shrink tumors, a strategy known as neoadjuvant therapy.
- Trial name
- NCT07401199
- Testing
- Standard of Care PD-1 Inhibitors, Multimodal AI Assessment
- Where
- 9 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Qun Zhao
Low Back Pain, Neck Pain
Pre-Visit AI Symptom-Checking and Shared Decision-Making in Spine Physical Therapy
Artificial intelligence (AI) symptom-checking tools, including large language models such as ChatGPT, are increasingly used by patients before they seek care.
- Conditions
- Low Back Pain, Neck Pain, Radiculopathy
- Trial name
- NCT07733752
- Testing
- re-visit AI symptom-checker use
- Where
- Egypt
- Volunteers
- 200 people
- Sponsor
- Assiut University
Structural Heart Abnormality, Valve Heart Disease
Capitalizing on AI to CapTure Undiagnosed Structural Heart Disease
Doctors are testing a new tool called EchoNext to see if it can help find heart problems earlier. EchoNext looks at the heart's electrical test, called an ECG, and uses artificial intelligence (AI) to check for signs of…
- Conditions
- Structural Heart Abnormality, Valve Heart Disease, Heart Diseases, Cardiovascular Diseases
- Trial name
- CACTUS (NCT07843004)
- Testing
- EHR Alert
- Where
- United States
- Volunteers
- 4,000 people
- Sponsor
- Pierre Elias