Clinical trials: Artificial Intelligence-Assisted Care
Diabetes Mellitus, Artificial Intelligence (AI)
Artificial Intelligence-Supported Mobile Application For Diabetes Self-Management
Patients in the AI-supported mobile application group will be able to log in with a username and password that will be defined specifically for them.
- Conditions
- Diabetes Mellitus, Artificial Intelligence (AI), Self-management
- Trial name
- NCT06650098
- Testing
- artificial intelligence-supported mobile application, WEB based application
- Where
- Turkey (Türkiye)
- Volunteers
- 156 people
- Sponsor
- Uludag University
Diabetic Retinopathy, Glaucoma
AI for the Detection of Retinal Disease and Glaucoma in Patients With Diabetes Mellitus in Primary Care
Background: Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries.
- Conditions
- Diabetic Retinopathy, Glaucoma, Age-Related Macular Degeneration, Choroidal Nevus
- Trial name
- NCT04132401
- Testing
- algorithm
- Where
- Spain
- Volunteers
- 902 people
- Sponsor
- Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Asthma in Children
A Study of Remote Asthma Management Using an Integrated Artificial Intelligence-assisted EHR Dashboard and Mobile Device Compared With Usual Asthma Care to Treat 6-17 Year Old Patients
The main purpose of this study is to look at whether clinicians and their patients with asthma can satisfactorily perform remote asthma management at home (not visiting clinic) by using an artificial intelligence tool called…
- Trial name
- NCT06062433
- Testing
- AsthmaTuner, Asthma-Guidance and Prediction System
- Where
- United States
- Volunteers
- 49 people, healthy volunteers welcome
- Sponsor
- Mayo Clinic
Artificial Intelligence, Septic Shock
Artificial Intelligence for Sepsis Prediction in ICU
The development of sepsis prediction model in line with Chinese population, and extended to clinical, assist clinicians for early identification, early intervention, has a good application prospect.
- Conditions
- Artificial Intelligence, Septic Shock, Intensive Care Unit Psychosis
- Trial name
- AICUSepsis (NCT04913181)
- Testing
- Artificial intelligence sepsis prediction model
- Volunteers
- 2,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Congenital Heart Disease (CHD), Screening Tool
"SOUND" Trial: Study of On-site Use of Novel AI-assisted Diagnostics in CHD Screening
This study plans to conduct clinical validation of the model in real clinical settings, comparing it with primary care physicians and specialist physicians to ensure the model's practicality.
- Conditions
- Congenital Heart Disease (CHD), Screening Tool, Artificial Intelligence (AI), Cluster Randomized Trial
- Trial name
- NCT06791109
- Testing
- Primary care physicians, AI + Primary care physicians
- Where
- China
- Volunteers
- 19,697 people, healthy volunteers welcome
- Sponsor
- Kun Sun
RSV Immunization
Artificial Intelligence-assisted Primary Care for RSV Prevention (AIPC-RSV) in China
The goal of this clinical trial is to evaluate whether an AI-assisted primary care intervention for parents can increase RSV monoclonal antibody (mAb) uptake among infants, and to assess the cost-effectiveness and potential for…
- Trial name
- NCT07856290
- Testing
- RSV AI-assisted primary care intervention
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- Fudan University
Tetanus
Real-time Artificial Intelligent (AI)-Assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in ICU Patients
This study aims to investigate the feasibility of using a real-time artificial intelligent (AI)-assisted tool for Rectus Femoris cross sectional area measurement from muscle ultrasound to improve reliability, reduce inter- and…
- Trial name
- RAIMUS (NCT06034093)
- Testing
- Real-time AI-assisted muscle ultrasound
- Where
- Vietnam
- Volunteers
- 254 people
- Sponsor
- Oxford University Clinical Research Unit, Vietnam
AI (Artificial Intelligence), Case-based Learning
Artificial Intelligence Assisted Teaching of Structured Nursing Care According to ERAS Protocol
This study evaluates an AI-supported case-based educational approach for teaching nursing care of gynecologic oncology patients according to the Enhanced Recovery After Surgery (ERAS) protocol.
- Conditions
- AI (Artificial Intelligence), Case-based Learning, Nursing Students, ERAS
- Trial name
- NCT07183202
- Testing
- Case-based learning (CBL), case-based education
- Where
- Turkey (Türkiye)
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- Sakarya University
Nursing Education
Kolb-Based AI-Powered Neonatal Simulation Training
This quasi-experimental study aims to evaluate the multidimensional effects of an artificial intelligence-supported newborn simulation training program based on Kolb's Experiential Learning Theory on nursing students'…
- Trial name
- NCT07872969
- Testing
- Kolb-Based Artificial Intelligence-Supported Neonatal Simulation Training
- Where
- Turkey (Türkiye)
- Volunteers
- 34 people, healthy volunteers welcome
- Sponsor
- Maltepe University
Bronchiolitis, Bronchitis
Effect of AI-Assisted Discharge Education on Parents of Children With Bronchitis/Bronchiolitis
This randomized controlled trial aims to evaluate the effects of artificial intelligence-assisted discharge education on mothers of children hospitalized with bronchitis/bronchiolitis.
- Trial name
- NCT07774494
- Testing
- AI-Assisted Written Discharge Education, AI-Assisted Video Discharge Education, Routine Discharge Education
- Where
- Turkey (Türkiye)
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- Osmaniye Korkut Ata University
Bone Fractures
AI-Assisted Fracture Detection in Emergency Radiography
This study evaluates whether artificial intelligence (AI) can support doctors who interpret X-rays for suspected fractures in emergency care.
- Trial name
- FAIR (NCT06754137)
- Testing
- BoneView AI-Assisted Radiograph Interpretation
- Where
- 3 sites in Austria, Germany
- Volunteers
- 1,667 people
- Sponsor
- Salzburger Landeskliniken
Tuberculosis (TB)
Effectiveness of Computer-Aided Detection Chest X-Ray Screening for Improving Tuberculosis Diagnostic Yield in Chinese Primary Health Care Settings: Study Protocol for a Prospective Cluster Randomized Controlled Trial
The global incidence rate and mortality of tuberculosis (TB) pose a challenge to achieving the goals set out in the tuberculosis eradication strategy and the SDGs by 2030.
- Trial name
- NCT06963606
- Testing
- Artificial intelligence-assisted chest X-ray in TB screening, Routine doctors analyze the process of chest X-rays
- Where
- China
- Volunteers
- 22,000 people, healthy volunteers welcome
- Sponsor
- Xuelin Yang