Clinical trials: AI (Artificial Intelligence), open to volunteers
Breast Cancer
Prospective Validation of Ataraxis AI Test for Predicting Treatment Response in Neoadjuvant Breast Cancer
This study evaluates the real-world clinical workflow integration of a previously developed artificial intelligence (AI) prognostic test in breast cancer patients receiving neoadjuvant chemotherapy, and validates its accuracy in…
- Trial name
- ATARAXIS NEOP (NCT07327970)
- Testing
- multi-modal foundation AI test
- Where
- South Korea
- Volunteers
- 150 people
- Sponsor
- Young-Joon Kang
Lung Cancer (Diagnosis)
AI-Personalized Discharge Education for Patients After Lung Cancer Surgery
This randomized controlled trial evaluates the effect of artificial intelligence (AI)-personalized discharge education on discharge teaching quality and recovery outcomes in patients after lung cancer surgery.
- Trial name
- AI-LUNG (NCT07827183)
- Testing
- AI-Personalized Discharge Education, Routine Discharge Education
- Where
- China
- Volunteers
- 156 people
- Sponsor
- Xiamen University
Valvular Heart Disease Patients
The VALVE-AI Trial
The goal of this clinical trial is to learn if an artificial intelligence-powered electrocardiogram (AI-ECG) can help detect moderate or severe valvular heart diseases (VHD) in adults.
- Trial name
- NCT07023510
- Testing
- AI-ECG driven echocardiography
- Where
- Taiwan
- Volunteers
- 8,648 people
- Sponsor
- National Defense Medical Center, Taiwan
Breast Cancer, Breast Cancer Awareness
UCF MammoChat: Image Repository
This study aims to develop AI models to better read diagnostic mammograms for various populations and types of breast cancer, using the images that participants donate and their responses from study questionnaire to improve…
- Conditions
- Breast Cancer, Breast Cancer Awareness, Breast Cancer Detection, Breast Cancer Survivors
- Trial name
- NCT07214883
- Testing
- No Interventions
- Where
- United States
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- University of Central Florida
Type 1 Diabetes Mellitus
Feasibility and Effectiveness of an AI-Powered Carbohydrate Counting Educational Platform to Support Parents of Children With Type 1 Diabetes
The goal of this clinical trial is to learn whether an AI-powered carbohydrate counting educational platform can help parents of children with type 1 diabetes improve their carbohydrate counting skills and diabetes management.
- Trial name
- CARB-AI (NCT07671053)
- Testing
- AI-Powered Carbohydrate Counting Educational Platform
- Where
- 3 sites in Oman, United Arab Emirates
- Volunteers
- 80 people
- Sponsor
- Sultan Qaboos University
Rheumatoid Arthritis (RA, Chronic Pain
Integrative AI-Based Multiomic and Neurophysiological Profiling of Chronic Pain in Rheumatoid Arthritis
Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease in which pain remains the most prominent and burdensome symptom from the patient's perspective.
- Trial name
- RA-PAIN-AI (NCT07769619)
- Where
- Poland
- Volunteers
- 100 people
- Sponsor
- 4th Military Clinical Hospital with Polyclinic, Poland
Feasibility Studies, Physical Activity
AI-Based Personalized Exercise Prescription Through Mobile Health on Physical Activity and Health Outcomes in Older Adults: A Feasibility Study
The purpose of this research is to investigate the feasibility, acceptability, appropriateness, and preliminary efficacy of a wearable and artificial intelligence-driven mobile application-based exercise prescription grounded in…
- Conditions
- Feasibility Studies, Physical Activity, Mental Health (Depression), Anxiety
- Trial name
- NCT07768670
- Testing
- Fitness app powered by AI and wearable device
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- The University of Tennessee, Knoxville
Pulmonary Nodules, Lung Neoplasms
A Multicenter Cohort Study of AI-Based Methods for Pulmonary Nodule Diagnosis and Follow-up
This is an observational, multicentre study. The primary objective of this study was to evaluate the diagnostic performance and clinical applicability of artificial intelligence models for pulmonary nodule segmentation…
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Artificial Intelligence (AI)
- Trial name
- NCT07815483
- Volunteers
- 16,880 people
- Sponsor
- Shanghai East Hospital
Breast Cancer, Anxiety
The Impact of AI- Supported Education in Mastectomy Patient
This study aims to evaluate the impact of artificial intelligence (AI)-supported preoperative education on fear and anxiety levels in patients undergoing total mastectomy.
- Conditions
- Breast Cancer, Anxiety, Mastectomy, Patient Education as Topic
- Trial name
- AI-ME (NCT06796166)
- Testing
- AI-Supported Preoperative Education, Standard Preoperative Education
- Where
- Turkey (Türkiye)
- Volunteers
- 40 people
- Sponsor
- Bezmialem Vakif University
AI-Assisted Academic Writing, Medical Education
AI-Assisted Structured Guidance for Narrative Review Writing
This randomized, parallel-group, assessor-blinded educational study will evaluate whether one session of AI-assisted structured guidance improves the quality of narrative literature reviews written by medical postgraduate…
- Conditions
- AI-Assisted Academic Writing, Medical Education, Narrative Review Writing
- Trial name
- NCT07618819
- Testing
- AI-Assisted Structured Guidance, Free AI Use
- Where
- China
- Volunteers
- 102 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Surgery
AI-driven Clinical Decision Support for Perioperative Blood Orders
20 million patients have surgery in the United States every year, with approximately 1 million of those patients requiring life-saving blood transfusion.
- Trial name
- SPATH (NCT07223853)
- Testing
- S-PATH clinical decision support system, Usual care
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Washington University School of Medicine
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
Medical Education, Generative Artificial Intelligence
Teaching Medical Students to Verify AI-Generated Citation Hallucinations
Generative artificial intelligence (GenAI) tools are increasingly used by medical students for literature searching, scientific writing, and research. However, AI-generated citations may contain errors.
- Trial name
- SARA (NCT07844746)
- Testing
- SARA Citation-Verification Training, Responsible GenAI Education Intervention Description
- Volunteers
- 320 people, healthy volunteers welcome
- Sponsor
- Quaid-e-Azam Medical College
Type 1 Diabetes Mellitus (T1DM), Diabetes Distress
GlycoQuest: An AI-Adaptive CGM-Integrated Serious Game for Pediatric Type 1 Diabetes
Type 1 diabetes diagnosed in childhood requires rapid acquisition of complex self-management skills while children and caregivers are also adapting emotionally and socially to a chronic condition.
- Conditions
- Type 1 Diabetes Mellitus (T1DM), Diabetes Distress, Hypoglycemia (Diabetic), Family Conflict
- Trial name
- GlycoQuest (NCT07726680)
- Testing
- GlycoQuest Digital Therapeutic, Enhanced Digital Psychoeducation
- Where
- Pakistan
- Volunteers
- 110 people
- Sponsor
- Shifa International Hospital
Atrial Cardiomyopathy
Prognostic Role of AI-Echo
Left atrial cardiomyopathy (LACM) is frequently underdiagnosed but plays a key role in increasing the risk of atrial fibrillation (AF) and thromboembolic events.
- Trial name
- NCT07009639
- Where
- Italy
- Volunteers
- 45 people
- Sponsor
- University of Calabria
Nursing Process Competence, Artificial Intelligence Perception and Attitude
The Effect of AI-Assisted Nursing Process Training on Nursing Process Competence, Perception and Attitudes Towards Artificial Intelligence in Nurses: A Randomized Controlled Study
This study aims to determine how applied artificial intelligence (AI) training affects nurses' ability to manage the nursing process and their perceptions and attitudes toward AI technology The nursing process is a scientific…
- Conditions
- Nursing Process Competence, Artificial Intelligence Perception and Attitude, Nursing Education, Nursing Process
- Trial name
- NCT07618975
- Testing
- Artificial Intelligence-Supported Nursing Process Training, Standard Theoretical Education on the Nursing Process
- Where
- Turkey (Türkiye)
- Volunteers
- 78 people, healthy volunteers welcome
- Sponsor
- University of Yalova
Ultra-Processed Food Consumption, Obesity Prevention
Sustainable and AI-Enabled Adolescents and Youth-Centred Interventions to Upgrade Food Choices and Promote Healthy, Sustainable Diets
This study aims to evaluate the effectiveness of an artificial intelligence (AI)-supported, context-aware digital nudging intervention designed to reduce ultra-processed food consumption and improve dietary sustainability among…
- Conditions
- Ultra-Processed Food Consumption, Obesity Prevention, Dietary Behaviour, Unhealthy Diet
- Trial name
- STAY-UP (NCT07514312)
- Testing
- Artificial intelligence-supported digital nudging
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Istanbul Gelisim University
Atrial Fibrillation (AF), Heart Failure With Mildly Reduced Ejection Fraction (HFmrEF)
An AI-ECG-Based Approach for Dynamic Assessment of Heart Failure Risk and Myocardial Recovery Following Atrial Fibrillation Ablation
Background Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a promising digital biomarker for detecting latent myocardial dysfunction and predicting cardiovascular risk.
- Trial name
- NCT07708818
- Where
- South Korea
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Ewha Womans University Mokdong Hospital
Myocardial Infarction (MI), Chest Pain Rule Out Myocardial Infarction
The Rule-Out Acute Myocardial Infarction Using Aritifical Intelligence Electrocardiogram (ROMIAE) 2 Trial
This study is to see whether the AI ECG assisted protocol is as safe and efficacious as conventional protocol in early triage of suspected myocardial infarction.
- Trial name
- ROMIAE 2 (NCT07027891)
- Testing
- AI-ECG
- Where
- 12 sites in South Korea
- Volunteers
- 4,670 people
- Sponsor
- CHA University
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