Clinical trials: Artificial Intelligence-Assisted Care
Lung Cancer
AI-Assisted Chest CT Interpretation Across the Lung Cancer Care Continuum
This investigator-initiated, single-center study consists of a retrospective artificial intelligence model-development stage and a prospective physician reader-study stage.
- Trial name
- NCT07829640
- Testing
- Chest CT Artificial Intelligence Decision-Support System
- Where
- China
- Volunteers
- 15 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
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
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
Decision Support Systems, Clinical, Referral and Consultation
Testing an AI Tool to Help Primary Care Clinicians With Specialty Consultation Questions
The goal of this study is to test an artificial intelligence (AI) tool called SAGE. SAGE helps primary care doctors with questions that often need a specialist. Primary care doctors are the doctors people usually see first.
- Trial name
- SAGE (NCT07706920)
- Testing
- SAGE (AI clinical decision support), Standard eConsult
- Where
- United States
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- Stanford 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
Anesthesia
Assessment of Diagnostic Adequacy of AI-assisted Point-of-Care Echocardiography Among Anesthesiology Trainees
This pilot study serves to assess the diagnostic adequacy of Artificial Intelligence (AI)-guided point-of-care. Focused echocardiography examinations will be obtained by Anesthesiology trainees and assessed by an expert…
- Trial name
- NCT06548373
- Testing
- Artificial Intelligence-assisted Point-of-Care Echocardiography
- Where
- United States
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- Loma Linda University
Acute Coronary Syndromes, ST Elevation Myocardial Infarction
Smartphone AI Assistance for Prehospital ECG Interpretation
Prehospital providers interpret 12-lead electrocardiograms (ECGs) under time pressure and without immediate expert support. Missed acute coronary occlusion - occlusion myocardial infarction (OMI) - delays reperfusion, while false…
- Conditions
- Acute Coronary Syndromes, ST Elevation Myocardial Infarction, Non-ST Elevated Myocardial Infarction, Myocardial Infarction (MI)
- Trial name
- ECG-IA (NCT07810686)
- Testing
- Smartphone large language model assistance (GPT-4o, version-locked)
- Where
- Switzerland
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- École Supérieure de Soins Ambulanciers - College of Higher Education in Prehospital Care
Glaucoma, Diabetic Retinopathy (DR)
"My Eyes, My Light": Amar Chokh, Amar Alo
Eye disease affects 2.2 billion people globally, which in turn adversely affects schooling, economic productivity, and participation in social life.
- Conditions
- Glaucoma, Diabetic Retinopathy (DR), Hypertensive Retinopathy, Cataract
- Trial name
- ACA2 (NCT07135570)
- Testing
- Multimodal Screening for Eye Disease, cataract surgery
- Where
- Bangladesh
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- Data Yakka, Inc.
Colorectal Neoplasms, Colonoscopy
AI-assisted Integrated Care to Promote Colonoscopy Uptake
Colorectal cancer (CRC) ranks the second most common cancer and the fourth leading cause of cancer-related deaths in China. Early screening of CRC has been proven to reduce the incidence and mortality, with colonoscopy as the…
- Trial name
- NCT07261059
- Testing
- AI-assisted integrated care
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Fudan University
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
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
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
Palliative Care, Generative Artificial Intelligence
Patient Aid for Theory-Driven Health Communication (PATH): Translating Goal-Power Theory Into an Instrument and Generative AI Support for Palliative Care Communication
The goal of this clinical trial is to learn whether an artificial intelligence (AI)-supported communication tool can help improve communication between people receiving palliative care and their healthcare providers.
- Conditions
- Palliative Care, Generative Artificial Intelligence, Natural Language Processing (NLP)
- Trial name
- NCT07692711
- Testing
- NurseChat+
- Where
- Taiwan
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Oxygen Therapy
The SATURİSTA Device
This study aims to evaluate the functional performance and feasibility of the Saturista system, a novel device designed for automated oxygen flow regulation based on continuous monitoring of oxygen saturation (SpO₂).
- Trial name
- SATURİSTA (NCT07576946)
- Where
- Turkey (Türkiye)
- Volunteers
- 7 people, healthy volunteers welcome
- Sponsor
- Koç 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
Postpartum Perineal Pain
AI-Supported Video Education in Episiotomy Care
Although the postpartum period is generally considered a positive experience, obstetric interventions such as episiotomy may lead to significant maternal health problems.
- Trial name
- NCT07453979
- Testing
- Control, AI-Assisted Episiotomy Care Video Group
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Burdur Mehmet Akif Ersoy University
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
Clinical Decision Support, Clinical Decision-making
Generative AI-Assisted Clinical Decision Support for Medical Intensive Care Unit Physicians
This pilot study evaluated the feasibility and usefulness of generative artificial intelligence (AI) as a clinical decision-support tool for physicians working in a medical intensive care unit.
- Trial name
- NCT07708155
- Testing
- Generative AI-Assisted Clinical Decision Support, Usual Clinical Information Resources
- Where
- South Korea
- Volunteers
- 15 people, healthy volunteers welcome
- Sponsor
- Seoul National University Hospital
Shared Decision Making, Health Literacy
Designing a Large Language Model Architecture for Shared Decision Making and Informed Intentions
This study investigates a novel, agentic Large Language Model (LLM) architecture designed to facilitate Shared Decision-Making (SDM) in healthcare.
- Conditions
- Shared Decision Making, Health Literacy, Patient Participation, Artificial Intelligence
- Trial name
- DEONCAI3-1 (NCT07827924)
- Testing
- Agentic LLM Chatbot, Usual Care LLM Chatbot, IQWiG Standard Brochure
- Where
- Germany
- Volunteers
- 330 people, healthy volunteers welcome
- Sponsor
- Harding Center for Risk Literacy