Clinical trials: AI (Artificial Intelligence), open to volunteers
Inflammatory Bowel Disease (Crohn's Disease and Ulcerative Colitis), Crohn's Disease (CD)
Research on the Whole Process of AI Intelligent Management System for the Diagnosis and Treatment of Inflammatory Bowel Diseases
Inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), is a chronic immune-mediated disorder requiring long-term management.
- Conditions
- Inflammatory Bowel Disease (Crohn's Disease and Ulcerative Colitis), Crohn's Disease (CD), Ulcerative Colitis (UC), Artificial Intelligence (AI)
- Trial name
- NCT07590271
- Where
- Taiwan
- Volunteers
- 4,500 people
- Sponsor
- Taichung Veterans General Hospital
Rhinoplasty, AI (Artificial Intelligence)
AI in Assessing Aesthetic Outcomes in Rhinoplasty
This study aims to thoroughly assess the predictive accuracy of artificial intelligence-based nasal outcome simulations by comparing AI-generated preoperative predictions with objective postoperative nasal morphology using…
- Trial name
- NCT07580573
- Testing
- AI
- Volunteers
- 20 people
- Sponsor
- Assiut University
Coronary Artery Disease (CAD), Computed Tomography Angiography
AI-assisted CT for Risk Stratification in Coronary Artery Disease (ACTION)
The goal of this observational study is to learn if AI-assisted cardiac CT imaging can improve cardiovascular risk stratification and prediction of future coronary events in an adult population undergoing clinically indicated…
- Conditions
- Coronary Artery Disease (CAD), Computed Tomography Angiography, Biomarkers, AI (Artificial Intelligence)
- Trial name
- ACTION (NCT07577609)
- Where
- Ireland
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- University of Galway
Consent Forms, Anesthesia
Effectiveness of Large Language Model for Anaesthesia and Procedural Consent
Patient understanding of anaesthesia risks remains inconsistent due to time constraints, language barriers, and variable clinician communication styles.
- Conditions
- Consent Forms, Anesthesia, Artificial Intelligence (AI)
- Trial name
- PEAR (NCT06949462)
- Testing
- PEAR
- Where
- 2 sites in Singapore
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Singapore General Hospital
Radiology, Internship and Residency
Measuring AI Reliance Among Intern Doctors in Palestine
This study aims to enroll intern doctors and have them sit one of three identical radiology exams. The only difference between them is an AI-assistant.
- Conditions
- Radiology, Internship and Residency, AI (Artificial Intelligence)
- Trial name
- AI-RP (NCT07558746)
- Testing
- AI prompt (Correct), AI prompt (Incorrect)
- Where
- Palestinian Territories
- Volunteers
- 159 people, healthy volunteers welcome
- Sponsor
- Al-Quds University
Colonic Polyps, CRC (Colorectal Cancer)
A Prospective Study to Evaluate the Performance of a Real-time System in the Estimation of Colorectal Polyp Size
Colorectal polyp size is related to the risk of exhibiting advanced histological features. Moreover, polyps larger than 10 mm are associated with an elevated risk of metachronous advanced neoplasia and colorectal cancer (CRC).
- Conditions
- Colonic Polyps, CRC (Colorectal Cancer), Artificial Intelligence (AI)
- Trial name
- EndoAIM (NCT06957015)
- Testing
- EndoAIM
- Where
- Hong Kong
- Volunteers
- 278 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
Climate Change, Maternal Health
Artificial Intelligence Education and Climate Awareness in Pregnancy
This quasi-experimental pretest-posttest study aimed to evaluate the effect of artificial intelligence-assisted climate change education on pregnant women's climate change concerns and awareness.
- Conditions
- Climate Change, Maternal Health, Fetal Health, Midwifery
- Trial name
- NCT07541885
- Testing
- Intervention 1, Control
- Volunteers
- 82 people, healthy volunteers welcome
- Sponsor
- Derya Kaya Senol
Education, AI (Artificial Intelligence)
Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education
The goal of this mixed method interventional study is to develop and test the effectiveness of integrating ChatGPT into the nursing research course to improve research competency among third-year undergraduate nursing students.
- Trial name
- NRAC (NCT07540078)
- Testing
- LLM-Integration
- Where
- Singapore
- Volunteers
- 640 people, healthy volunteers welcome
- Sponsor
- National University Health System, Singapore
Implementation Research, Artificial Intelligence (AI)
Barriers and Facilitators to Nursing Record With AI Technology Application
The goal of this study is to examine the facilitators and barriers to the comprehensive implementation of AI technology in nursing documentation.
- Conditions
- Implementation Research, Artificial Intelligence (AI), Nursing Documentation Burden
- Trial name
- NCT07532343
- Testing
- AI-based technologies systems to assist with nursing record
- Where
- Taiwan
- Volunteers
- 271 people, healthy volunteers welcome
- Sponsor
- National Yang Ming Chiao Tung University Hospital
Digestive Diseases, Radiology
AI-Driven Multimodal Imaging Integration for Diagnosis and Prognostication of Digestive System Diseases
The goal of this observational, retrospective and prospective study is to develop a noninvasive disease assessment system by leveraging artificial intelligence (AI) to comprehensively analyze multi-modal imaging features…
- Conditions
- Digestive Diseases, Radiology, AI (Artificial Intelligence), Imaging
- Trial name
- NCT07087418
- Testing
- Virtual endoscopy model-assisted diagnosis
- Where
- China
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
Oral Cancer, AI (Artificial Intelligence)
AI-based Physiotherapy Evaluation System for Range of Motion in Oral Cancer Patients
This study aims to evaluate the validity and reliability of a novel AI-based physiotherapy evaluation system for measuring oromandibular and neck-shoulder range of motion (ROM).
- Trial name
- NCT07509619
- Where
- Taiwan
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
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
Cancer, Symptom
Advanced Symptom Palliation Through Integrated Relief Engagement
Beacon is a digital platform that processes objective and subjective aggregated data provided by patients. Objective data is provided by standard wearables, while subjective data is provided by patient-reported outcome measures…
- Conditions
- Cancer, Symptom, Quality of Life, AI (Artificial Intelligence)
- Trial name
- ASPIRE AI (NCT07518797)
- Testing
- Advanced cancer patients' palliative symptoms management using Beacon analysis of patient-provided of objective and subjective data
- Where
- Israel
- Volunteers
- 40 people
- Sponsor
- Tzeela Cohen
Artificial Intelligence (AI), Health Literacy
Comparing Original Patient Educational Materials vs. AI-Simplified Materials to Improve Patient Comprehension and Health Literacy
Poor health literacy and patient comprehension have been associated with adverse health outcomes. Patient educational materials (PEMs) are articles that are intended to assist patients in their understanding of a given medical…
- Conditions
- Artificial Intelligence (AI), Health Literacy, Patient Comprehension, Patient Educational Material
- Trial name
- NCT07505719
- Testing
- AI Simplification, Unmodified Patient Educational Material
- Where
- United States
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Hospital for Special Surgery, New York
Breast Cancer Screening, Artificial Intelligence (AI)
Screening Mammography: Single Reading by One Radiologist With AI vs. Double Reading by Two Radiologists (AI-BCSQ)
A randomized prospective study comparing the evaluation of mammography images in a breast cancer screening programme by a single radiologist with AI support versus standard double reading by two radiologists without AI support.
- Conditions
- Breast Cancer Screening, Artificial Intelligence (AI), Breast Cancer Screening and Diagnosis
- Trial name
- AI-BCSQ (NCT07075679)
- Testing
- Group with AI iCAD version 3, Group without AI
- Where
- Czechia
- Volunteers
- 8,000 people, healthy volunteers welcome
- Sponsor
- University Hospital Olomouc
AI (Artificial Intelligence)
Scientific Validity Assessment and Optimization of AI-Generated A3/A4 Type Questions for the Chinese Medical Licensing Examination
This is a cross-sectional study that primarily employs quantitative analysis, supplemented by qualitative assessment. The research is conducted in two stages: Phase I consists of a model performance comparison experiment, and…
- Trial name
- NCT07505862
- Where
- China
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Guangdong Provincial People's Hospital
Lymphedema, Artificial Intelligence (AI)
Lymphoedema Diagnosis and Treatment
A domain-specific, custom-trained large language model for the differential diagnosis and treatment planning of lymphedema, lipedema, and venous insufficiency.
- Trial name
- CDTL (NCT07485465)
- Testing
- a domain-specific, custom-trained large language model for the differential diagnosis and treatment planning of lymphedema, lipedema, and venous insufficiency
- Where
- Turkey (Türkiye)
- Volunteers
- 25 people
- Sponsor
- Fatih Sultan Mehmet Training and Research Hospital
Behavior Problem of Childhood and Adolescence, Parent Management Training
Behavioral Parent Training With and Without AI Support for Children With Disruptive Behaviors
The goal of this clinical trial is to learn if adding an artificial intelligence (AI) application called to standard Behavioral Parent Training (BPT) helps families with children who have disruptive behavior problems.
- Conditions
- Behavior Problem of Childhood and Adolescence, Parent Management Training, Artificial Intelligence (AI), Disruptive Behaviours
- Trial name
- NCT07469215
- Testing
- Behavioral Parent Training (BPT), Behavioral Parent Training (BPT) + Support of AI app
- Where
- Spain
- Volunteers
- 40 people
- Sponsor
- Fundació Sant Joan de Déu
Central Nervous System Disease, MRI
Validation on Clinical Adaptability of the Foundation Model Specific to Neuroimaging Diagnosis
This clinic trial aims to investigate whether artificial intelligence (AI) diagnostic tools at neurological diseases diagnosis on brain CT/MRI can improve the work efficiency of specialized neuroimaging physicians, with a…
- Conditions
- Central Nervous System Disease, MRI, CT, AI (Artificial Intelligence)
- Trial name
- NCT07471984
- Testing
- Foundation Model Specific to Neurological Diagnosis
- Where
- China
- Volunteers
- 50,000 people, healthy volunteers welcome
- Sponsor
- Yaou Liu