Clinical trials: Artificial Intelligence (AI)
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
Allergic Contact Dermatitis
Allergy Skin Patch Artificial Intelligence (AI)
The purpose of this research is to assess human and artificial intelligence performance in grading contact dermatitis reactions in healthy volunteers.
- Trial name
- NCT05339750
- Testing
- AI-based smartphone application, Allergen patch
- Where
- United States
- Volunteers
- 233 people, healthy volunteers welcome
- Sponsor
- Mayo Clinic
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
Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis
A Multi-center Study on Artificial Intelligence-Based Quantitative Evaluation of Echocardiography
This project aims to collaborate with multiple medical institutions to verify the accuracy, stability, and clinical application value of AI algorithms in echocardiographic quantitative measurement through multi-center clinical…
- Conditions
- Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Cardiovascular Diseases (CVD), Echocardiography
- Trial name
- MAIQUEE (NCT07133516)
- Where
- 37 sites in China
- Volunteers
- 1,600 people, healthy volunteers welcome
- Sponsor
- First Hospital of China Medical University
Mental Health Issue
Delivery Format of Cognitive Behavioral Therapy Materials on Engagement and Outcomes: AI-Enabled App vs PDF Workbook
The goal of this clinical trial is to compare two different ways of delivering cognitive behavioral therapy (CBT) materials to people with symptoms of anxiety and depression. The main questions it aims to answer are: 1.
- Trial name
- NCT06459128
- Testing
- Limbic Care, Digital Workbook
- Where
- United Kingdom
- Volunteers
- 540 people, healthy volunteers welcome
- Sponsor
- Limbic Limited
Physical Performance
Effects of AI-Generated Resistance Training on Neuromuscular Performance in Sedentary Men
The goal of this clinical trial is to learn how an artificial intelligence-generated resistance training program affects muscle performance in sedentary men aged 18 to 35 years.
- Trial name
- NCT07895446
- Testing
- Artificial Intelligence-Generated Resistance Training, Conventional Resistance Training
- Where
- Turkey (Türkiye)
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Marmara University
Breast Cancer, Breast Cancer Screening
Breast Cancer AI Imaging Study
This study aims to develop a social health platform called MammoChat (https://MammoChat.com) that allows patients to share their real-world patient data to a trusted network for development of clinical intelligence to improve…
- Trial name
- NCT06604078
- Where
- United States
- Volunteers
- 199 people, healthy volunteers welcome
- Sponsor
- University of Central Florida
Prostate Cancer With PSA Gray Zone
Intelligent Screening and Precision Diagnosis of Prostate Cancer Based on Multimodal Data
This project aims to develop a precision screening and diagnostic solution for prostate cancer based on multimodal artificial intelligence, focusing on addressing the diagnostic challenge in patients within the PSA "gray zone" of…
- Trial name
- NCT07631806
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Guangxi Medical University
Sudden Cardiac Arrest
AI-guided Prediction and Treatment of Cardiac Arrest
Sudden cardiac arrest is a major health problem, and most people don't survive. One big reason is that even if resuscitation is successful, people commonly have recurrent cardiac arrests (rearrest).
- Trial name
- NCT07452016
- Testing
- Machine learning-guided cardiac arrest prediction device
- Where
- United States
- Volunteers
- 68 people, healthy volunteers welcome
- Sponsor
- MetroHealth Medical Center
Medication Adherence
Managing Insulin With a Voice AI
This study randomizes participants to have their basal insulin titrated either through standard of care or by receiving prompts through interactions with an AI-enabled smart speaker device.
- Trial name
- MIVA (NCT05081011)
- Testing
- Voice Assistant Device
- Where
- United States
- Volunteers
- 39 people, healthy volunteers welcome
- Sponsor
- Stanford University
MCI, Dementia
Tailored Brain Health Insights Through Nurturing Knowledge-based Change - Stakeholder-driven, Human-centered, AI-powered Refinement for Prevention
The goal of this clinical trial is to evaluate whether an AI-powered digital brain health coaching intervention can improve modifiable brain health risk factors in community-dwelling adults aged 40 and above in Singapore.
- Trial name
- THINK-SHARP (NCT07612800)
- Testing
- BLAZE (Brain health Lifestyle Action with personaliZed Engagement)
- Where
- Singapore
- Volunteers
- 350 people, healthy volunteers welcome
- Sponsor
- Alexandra Hospital
Lung Disease
Spirometry Interpretation Performance of Primary Care Clinicians With/Without AI Software
To evaluate whether an artificial intelligence decision support software (ArtiQ.Spiro) improves the diagnostic accuracy of spirometry interpreted by primary care clinicians, as measured by Clinician Diagnostic Accuracy (vs…
- Trial name
- SPIRO-AID (NCT05933694)
- Testing
- Artificial Intelligence-powered Spirometry Interpretation Report
- Where
- United Kingdom
- Volunteers
- 228 people, healthy volunteers welcome
- Sponsor
- Royal Brompton & Harefield NHS Foundation Trust
Healthcare Provider Well-being
Ambient AI for Provider Well-Being
The goal of this clinical trial is to learn whether using Ambient Artificial Intelligence for provider documentation will enhance provider well-being and improve documentation quality.
- Trial name
- NCT06517082
- Testing
- Artificial Intelligence
- Where
- United States
- Volunteers
- 66 people, healthy volunteers welcome
- Sponsor
- University of Wisconsin, Madison
Congenital Anomalies, Neonatal Complications
AI-Powered Neonatal Risk Assessment for Improved Perinatal Outcomes
This study aims to develop advanced artificial intelligence (AI) models that predict neonatal risks and complications based on historical multimodal health data, including ultrasound and MRI scans.
- Conditions
- Congenital Anomalies, Neonatal Complications, Perinatal Outcomes, Perinatal Outcomes of the Mother and Fetus
- Trial name
- NCT07064356
- Volunteers
- 50,000 people, healthy volunteers welcome
- Sponsor
- FetalFirst Limited
Intensive Care Unit-acquired Weakness, Artifical Intelligence
AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness
The aim of this observational case-control study is to investigate, whether artificial intelligence can detect ultrasound-derived imaging characteristics typical for intensive care unit-acquired weakness.
- Conditions
- Intensive Care Unit-acquired Weakness, Artifical Intelligence, Ultrasound
- Trial name
- ACTIVATE (NCT06765551)
- Testing
- Neuromuscular Ultrasound
- Where
- Germany
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- Jena University Hospital
Systemic Health Risk
AI-Assisted Systemic Health Risk Assessment in General Ophthalmology
This study will evaluate whether providing ophthalmologists with additional artificial intelligence (AI)-assisted health risk information derived from routine retinal images affects subsequent clinical care in adults attending…
- Trial name
- LifeEye-RCT (NCT07890922)
- Testing
- AI-Assisted Health Risk Information
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Artificial Intelligence, Qualitative Research
Qualitative Research Among Physicians and Junior Doctors Into the Preconditions for Implementing a CDSS Based on AI in the ICU
The goal of this study is to explore the different attitudes and preconditions of potential end-users (doctors \& physicians in training) required to achieve successful clinical implementation of models based on artificial…
- Conditions
- Artificial Intelligence, Qualitative Research, Decision Support Systems, Clinical
- Trial name
- KATRINA (NCT05303025)
- Testing
- Survey, Semi-structured group discussion
- Where
- 3 sites in Belgium
- Volunteers
- 69 people, healthy volunteers welcome
- Sponsor
- University Ghent
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
Medical Student
AI-Assisted Learning in Medicine
This multi-center retrospective cohort study investigates the real-world impact of integrating MetaGP-Edu, a proprietary AI tool fine-tuned for medical education, into the undergraduate Internal Medicine curriculum.
- Trial name
- NCT06945159
- Where
- 2 sites in China
- Volunteers
- 1,632 people, healthy volunteers welcome
- Sponsor
- Kang Zhang
Artificial Intelligence, Endoscopy
AI-assisted Endoscopy Report System In Improving Reporting Quality
In this study, we proposed a prospective study about the effectiveness of artificial intelligence system for endoscopy report quality in endoscopists. The subjects would be divided into two groups.
- Trial name
- NCT05479253
- Testing
- Artificial intelligence assistant system
- Where
- China
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Renmin Hospital of Wuhan University