Clinical trials: Intelligence
Mental Health Promotion, Emotional Intelligence
Two Tutorial Action Programs, Incidental and Structured, on the General Welfare of Elementary School Students.
The aim of this paper is twofold: on the one hand, to test the effectiveness of a structured emotional education program in second, third and fourth grade primary school students and, on the other hand, to test the differential…
- Conditions
- Mental Health Promotion, Emotional Intelligence, Self-Concept, Emotional and Behavioral Problems
- Trial name
- NCT06131229
- Testing
- Structured emotional education program (PEE), Incidental tutorial action based on the school's regular curriculum (PCO)
- Where
- Spain
- Volunteers
- 157 people, healthy volunteers welcome
- Sponsor
- OIHANA SAGASTI ARRIEN
Procedural Pain Relief, Virtual Reality
AI-Generated Video Distraction Via Virtual Reality for Fear and Pain During Pediatric Circumcision
This randomized controlled trial evaluated the effect of artificial intelligence-generated video distraction delivered via virtual reality on procedural fear and pain in children undergoing circumcision.
- Conditions
- Procedural Pain Relief, Virtual Reality, Fear, Child
- Trial name
- NCT07824427
- Testing
- AI-Generated Video Distraction via Virtual Reality
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Yuzuncu Yil University
Uterine Fibroid, Uterine Sarcoma
A Prospective Validation Study of Radiomics in the Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma
In our previous study, based on the multi-center clinical big data collected from January 2012 to January 2025, we have completed the construction of a multimodal early warning model for the malignant transformation of uterine…
- Conditions
- Uterine Fibroid, Uterine Sarcoma, AI (Artificial Intelligence), Radiomic
- Trial name
- NCT07269535
- Testing
- No intervention (observational study)
- Volunteers
- 500 people
- Sponsor
- Tongji Hospital
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
Artificial Intelligence (AI) in Diagnosis, Decision Making
Training Diagnostic Specialists to Use Artificial Intelligence Safely: The DISCORD-Dx Study
This randomized study evaluated whether a structured reasoning strategy called DISCORD-Dx could help specialist doctors use artificial intelligence (AI) recommendations more safely during diagnostic decision-making.
- Trial name
- DISCORD-Dx (NCT07844889)
- Testing
- DISCORD-Dx Training, Conventional AI-Literacy Training
- Where
- Pakistan
- Volunteers
- 46 people, healthy volunteers welcome
- Sponsor
- Sara Reza
Artificial Intelligence (AI), Clinical Reasoning
Teaching Doctors in Training to Reason With Artificial Intelligence
The purpose of the TEACH-AI study is to assess whether a brief, structured workshop on artificial intelligence can improve the performance of medicine doctors in training (i.e.
- Conditions
- Artificial Intelligence (AI), Clinical Reasoning, Clinical Decision-making, Medical Education
- Trial name
- TEACH-AI (NCT07813754)
- Testing
- Workshop-First
- Where
- 4 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
Nursing Students, Artificial Intelligence (AI)
Effect of AI-Supported Case Analysis on Nursing Students
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills.
- Conditions
- Nursing Students, Artificial Intelligence (AI), Clinical Decision-Making in Nursing
- Trial name
- NCT07611383
- Testing
- AI-supported case, Control Group
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- Nevsehir Haci Bektas Veli University
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
Congenital Heart Disease (CHD), Artifical Intelligence
AI-Assisted Versus Independent Heart Sound Screening for Congenital Heart Disease in Children
This is a prospective, school-based, cluster-randomized controlled trial conducted in Qinghai Province, China. The study will evaluate whether artificial intelligence (AI) can help primary care physicians identify congenital…
- Conditions
- Congenital Heart Disease (CHD), Artifical Intelligence, Screening, Cardiac Auscultation
- Trial name
- NCT07830251
- Testing
- AI-Assisted Cardiac Auscultation
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Kun Sun
Asthma in Children, Artificial Intelligence
Artificially Intelligent Robot Control
The purpose of the study is to compare the impact of standard asthma education with the standard + Artificially Intelligent Robot (AIR) Control intervention.
- Conditions
- Asthma in Children, Artificial Intelligence, Caregiver Burden
- Trial name
- AIR (NCT07738016)
- Testing
- Artificially Intelligent Robot (AIR) Control Intervention, Standard Asthma Education
- Where
- United States
- Volunteers
- 80 people
- Sponsor
- University of Miami
High-risk Pregnancy, Hospitalization
LLM-Generated Medical Summaries During Hospitalization to Improve Patient Activation in High-Risk Pregnancies
The goal of this clinical trial is to learn if AI-generated medical summaries help hospitalized pregnant participants better understand and actively participate in their own care.
- Conditions
- High-risk Pregnancy, Hospitalization, Patient Activation, Artificial Intelligence (AI)
- Trial name
- NCT07823517
- Testing
- LLM-Generated Medical Summaries
- Where
- Israel
- Volunteers
- 200 people
- Sponsor
- Sheba Medical Center
Autoimmune / Connective Tissue Diseases, Anti-Nuclear Antibody
Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test
The objective of this prospective observational study is to rigorously examine the feasibility and efficacy of utilizing latent diffusion models for data augmentation in anti-nuclear antibody (ANA) Hep-2 cell immunofluorescence…
- Conditions
- Autoimmune / Connective Tissue Diseases, Anti-Nuclear Antibody, Visual Turing Tests, Artifical Intelligence
- Trial name
- NCT06542783
- Testing
- referring to the results of AI model output
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Mycosis Fungoides of Skin (Diagnosis), Artificial Intelligence (AI) in Diagnosis
AI in MF Diagnosis
The aim of this observational study is to evaluate the diagnostic performance of an AI algorithm in the histopathological diagnosis of MF compared to certified dermatopathologists.
- Trial name
- AI\MF (NCT07795242)
- Testing
- this study does not include any intervention
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Al-Azhar University
Seborrheic Keratoses, Artifical Intelligence
AI in SK Histopathological Diagnosis
The aim of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of Seborrheic keratosis compared to Certified Dermatopathologists.
- Trial name
- AI\SK (NCT07787481)
- Testing
- This study doesn't include an intervention.
- Where
- Egypt
- Volunteers
- 30 people
- Sponsor
- Al-Azhar University
AI (Artificial Intelligence), Large Language Model
OpenEvidence Safety and Comparative Efficacy of Four LLM's in Clinical Practice
OpenEvidence is an online tool that aggregates and synthesizes data from peer-reviewed medical studies, then producing a response to a user's questions using generative AI.
- Conditions
- AI (Artificial Intelligence), Large Language Model, Generative Artificial Intelligence
- Trial name
- NCT07199231
- Testing
- AI clinical reference tool
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Cambridge Health Alliance
Education, Academic Performance
Impact of Generative AI on University Students' Learning Processes and Critical Thinking
This study is a randomized, controlled trial with a pre-test/post-test design, conducted to determine the effects of Generative AI (GenAI)-supported learning on academic achievement, learning efficiency, and critical thinking…
- Conditions
- Education, Academic Performance, Learning Efficiency, Generative Artificial Intelligence
- Trial name
- AI-Critical (NCT07762261)
- Testing
- Behavioral
- Volunteers
- 100 people
- Sponsor
- Ataturk University
Pulmonary Diseases, Ophthalmological Diagnostic Techniques
Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology
This study intends to collect ophthalmologic examination results, pulmonary examination results and related indexes from patients with pulmonary disease and control populations, and combine big data analysis and artificial…
- Conditions
- Pulmonary Diseases, Ophthalmological Diagnostic Techniques, Artificial Intelligence
- Trial name
- NCT05847894
- Testing
- Ophthalmic examination, Pulmonary Examination
- Where
- 4 sites in China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Clinical Decision-making, Medical Reporting
Artificial Intelligence as a Decision Making Tool in Emergency Department
This study will evaluate the performance of a large language model (LLM)-based clinical decision support system in the emergency department at Rambam Health Care Campus.
- Conditions
- Clinical Decision-making, Medical Reporting, Emergency Department Visit, Information Systems
- Trial name
- NCT06902675
- Where
- Israel
- Volunteers
- 100,000 people
- Sponsor
- Rambam Health Care Campus
Artificial Intelligence, Electrocardiogram
Artificial Intelligence-enabled ECG Detection of Congenital Heart Disease in Children: a Novel Diagnostic Tool
Congenital heart disease (CHD) is the most common congenital disease in children. The early detection, diagnosis and treatment of CHD in children is of great significance to improve the prognosis and reduce the mortality of…
- Conditions
- Artificial Intelligence, Electrocardiogram, Deep Learning, Congenital Heart Disease in Children
- Trial name
- AI-ECG-CHD (NCT06383546)
- Where
- China
- Volunteers
- healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Fertility, Mobile Applications
Smartphone vs Manual Interpretation of Biomarkers for Ovulation and Luteal Phase Detection (SMOM Study)
This study will compare different combinations of fertility signs (cervical mucus (CM), luteinizing hormone [LH], pregnanediol glucuronide [PDG], and basal body temperature [BBT]) to determine which are most reliable for…
- Conditions
- Fertility, Mobile Applications, Artifical Intelligence, Cervical Mucus
- Trial name
- SMOM (NCT07248046)
- Testing
- Premom App-Assisted Fertility Tracking
- Where
- Canada
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Bruyère Health Research Institute.