Clinical trials: AI (Artificial Intelligence)
Artificial Intelegence, Diabetic Retinopathy Associated With Type 2 Diabetes Mellitus
Application of Artificial Intelligence in Early Detection of Eye Complications in Diabetics
The goal of this pragmatic trial is to test the benefit of using artificial intelligence-based eye screening i.e, a fundus camera device in the early detection of eye complications in diabetics.
- Conditions
- Artificial Intelegence, Diabetic Retinopathy Associated With Type 2 Diabetes Mellitus, Macular Edema Due to Type 2 Diabetes Mellitus
- Trial name
- AI (NCT05655117)
- Testing
- AI based eye screening
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- The New Model of Care, Hail Health Cluster
Heart Failure, Heart Failure With Reduced Ejection Fraction
Efficacy of AI EF Screening by Using Smartphone Application Recorded PLAX View Cardiac Ultrasound Video Clips
Assessing the Efficacy of Artificial Intelligence in Left Ventricular Function Screening Using Parasternal Long Axis View Cardiac Ultrasound Video Clips ABSTRACT BACKGROUND: Echocardiography serves as a fundamental diagnostic…
- Conditions
- Heart Failure, Heart Failure With Reduced Ejection Fraction, Cardiac Failure, Echocardiography
- Trial name
- NCT06330103
- Testing
- Easy EF
- Where
- Thailand
- Volunteers
- 923 people, healthy volunteers welcome
- Sponsor
- Rayong Hospital
Melanoma, Skin Cancer
AI Augmented Training for Skin Specialists
Background: The worldwide incidence of skin cancer has been rising for 50 years, in particular the incidence of malignant melanoma has increased approx. 2-7% annually and is the most common cancer amongst Danes aged 15-34.
- Trial name
- AISC-SS (NCT04758988)
- Testing
- DermLoop Learn
- Where
- 2 sites in Denmark
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- Herlev Hospital
an Intelligent Teaching Agent for the "Epidemiology" Course of the MBBS Program, Students' Critical Thinking, Practical Ability and Learning Outcomes
Research and Application of an AI Agent-Based MBBS Course Assistant
Prior to the quasi-experiment, this study performed semi-structured interviews among Bachelor of Medicine and Bachelor of Surgery(MBBS) undergraduate students from the Belt and Road International Medical College, Zhejiang…
- Trial name
- NCT07752160
- Testing
- Socratic Agent for Guided Epidemiology, General LLM
- Where
- China
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Cardiovascular Diseases
Development of CV Risk Prediction Tools Based on AI and Fundus Imaging Technology Study (PERFECT)
This study aims to develop a cardiovascular disease (CVD) screening tool and cardiovascular risk prediction tool based on fundus imaging data with the method of artificial intelligence.
- Trial name
- PERFECT (NCT06181552)
- Testing
- fundus photograpgy, optical coherence tomography, optical coherence tomography angiography
- Volunteers
- 1,072 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Nutrition Assessment
Validity of an AI-based Program to Identify Foods and Estimate Food Portion Size
The purpose of this study is to test the accuracy of the Nutrition Artificial Intelligence in the Openfit app during meals in a controlled laboratory setting
- Trial name
- PortionSizeAI (NCT05343585)
- Testing
- PortionSize AI
- Where
- United States
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- Pennington Biomedical Research Center
HPV Vaccination Intent
Conversations With AI Chatbots Increase Short-Term Vaccine Intentions But Do Not Outperform Standard Public Health Messaging
The goal of this clinical trial is to test whether short conversations with large language model (LLM) chatbots can persuade vaccine-hesitant parents to vaccinate their children against human papillomavirus (HPV).
- Trial name
- NCT07132125
- Testing
- Default-style LLM chatbot, Conversational-style LLM chatbot, Public health informational materials
- Where
- United States
- Volunteers
- 930 people, healthy volunteers welcome
- Sponsor
- University of Pennsylvania
Behavior, Eating
Menu to Meal (M2M) Menu Labeling Intervention Study
This study evaluates the impact of culturally tailored menu labeling interventions on psychosocial factors and ordering behavior among customers in two independently owned Hispanic restaurants in East-Central Texas.
- Trial name
- NCT07329452
- Testing
- Paper menu, Digital menu condition
- Where
- United States
- Volunteers
- 242 people, healthy volunteers welcome
- Sponsor
- Texas A&M University
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
Emotional Disturbance, Emotional Regulation
AI-assisted GNW on Adolescent Emotional Distress
This cluster-randomized controlled trial aims to evaluate the efficacy of an AI-assisted Guided Narrative Writing (AI-GNW) in alleviating emotional distress among adolescents.
- Conditions
- Emotional Disturbance, Emotional Regulation, Insomnia
- Trial name
- NCT07105137
- Testing
- AI-GNW, NF-GNW, NWG
- Where
- China
- Volunteers
- 486 people, healthy volunteers welcome
- Sponsor
- Peking University
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
Periodontitis, Periodontal Diseases
Accuracy of an AI-clinical Knowledge-based Hybrid System for Detecting Periodontitis in OPG Images
Periodontitis is highly prevalent and rarely detected and treated in the earlier stages of the disease. Orthopantomography (OPG) is the most frequently taken dental radiograph around the world, and its systematic screening may…
- Trial name
- NCT06306677
- Testing
- AI-clincial-based hybrid system for radiographic image analysis
- Where
- 3 sites in China, Hong Kong and 1 more
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
Communication
DHL Survey on Generative AI for MyChart Messaging
The purpose of this study is to understand how patients feel about the use of computer programs to create responses when they send electronic messages to their doctors.
- Trial name
- NCT06108037
- Testing
- Generative AI for electronic communication and disclosure
- Where
- United States
- Volunteers
- 1,454 people, healthy volunteers welcome
- Sponsor
- Duke University
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
Mandibular Asymmetry
Looksmaxxing AI for Chin Deviation Detection
This study aims to evaluate whether an artificial intelligence application called Looksmaxxing AI will be able to correctly identify chin deviation (chin asymmetry) from standard frontal facial photographs.
- Trial name
- NCT07197359
- Testing
- Looksmaxxing AI Facial Analysis
- Where
- Turkey (Türkiye)
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- Konya Necmettin Erbakan Üniversitesi
Dental Education, Artificial Intelligence (AI)
AI Virtual Patient Training for Dental Student History Taking
This randomized study evaluated whether an artificial intelligence-assisted virtual patient could support third-year dental students in practicing medical and dental history taking.
- Conditions
- Dental Education, Artificial Intelligence (AI), Virtual Patient, History Taking
- Trial name
- NCT07688668
- Testing
- Gemini-Based AI Virtual-Patient Training, Conventional Role-Play Training
- Where
- Vietnam
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Hue University of Medicine and Pharmacy
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
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