Clinical trials: AI
Preterm Birth, Artificial Intelligence (AI) in Diagnosis
Does AI Make Clinicians More Appropriately Confident? A Randomized Study in Preterm Birth Prediction
The goal of this randomized questionnaire-based study is to evaluate how different presentations of artificial intelligence (AI) decision support influence clinical judgment among medical doctors working in obstetrics and…
- Trial name
- NCT07402668
- Testing
- AI prediction (binary), AI risk estimate (%)
- Where
- 18 sites in Denmark
- Volunteers
- 246 people, healthy volunteers welcome
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
AI-CBT Intervention Group, Waitlist Control Group
AI-Based CBT Chatbot for Adolescent Social Anxiety
The goal of this clinical trial is to learn if a CBT-based AI chatbot works to reduce social anxiety in teenagers. It will also look at how the chatbot works, including changes in thinking patterns, emotion management, and safety…
- Trial name
- NCT07897084
- Testing
- AI-CBT intervention group
- Volunteers
- 120 people
- Sponsor
- Central China Normal University
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
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
Smoking Cessation, Early-Stage Cancer
Multi-Theory Model-Based AI Agent Intervention for Smoking Cessation in Early-Stage Cancer Patients
The goal of this clinical trial is to evaluate the effectiveness of a Multi-Theory Model (MTM)-based AI agent intervention for smoking cessation in early-stage cancer patients (clinical stage cTNM 0~II) who currently smoke.
- Conditions
- Smoking Cessation, Early-Stage Cancer, AI Agent
- Trial name
- NCT07827066
- Testing
- MTM-Based AI Agent for smoking cessation, Counseling
- Volunteers
- 156 people
- Sponsor
- Sun Yat-sen University
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
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
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
AI-assisted Documentation
AI-Assisted Clinical Documentation in Nurse-Led Telehealth Contacts
Background: No randomized controlled trial evidence currently exists on the effectiveness of ambient artificial intelligence (AI)-assisted clinical documentation.
- Trial name
- NCT07750600
- Testing
- AI-assisted clinical documentation (ambient AI scribe, Tandem Health)
- Where
- Finland
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- Hospital District of Helsinki and Uusimaa
Nursing Students, Artificial Intelligence (AI)
AI-Supported Case Analysis Among Nursing Students
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load…
- Trial name
- NCT07614503
- Testing
- Case Analysis, AI-supported case
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- TC Erciyes University
Intubation Performance Using AI Versus Conventional Videolaryngoscope in a Mannikin
AI-assisted Endotracheal Intubation
This study evaluates artificial intelligence (AI)-assisted videolaryngoscopy for endotracheal intubation in a simulated pediatric airway environment.
- Trial name
- NCT07508826
- Testing
- AI-assisted videolaryngoscopy, Conventional Intubation
- Where
- Canada
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- The Hospital for Sick Children
Cancer, Intraoperative Pathology
Development and Validation of an AI Foundation Model for Frozen-Section Pathology
This multicenter observational study aims to develop and validate an artificial intelligence foundation model for frozen-section pathology. The study includes a retrospective phase and a prospective validation phase.
- Conditions
- Cancer, Intraoperative Pathology, Artificial Intelligence (AI)
- Trial name
- NCT07708207
- Where
- China
- Volunteers
- 33,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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
Breastfeeding, Artificial Intelligence (AI)
The Effect of Artificial-Intelligence-Assisted Videos on Breastfeeding Self-Efficacy, Motivation, and LATCH Scores in First-Time Mothers
As of 2024, nearly half (48%) of infants under six months worldwide are exclusively breastfed, approaching the global target of 50%.
- Conditions
- Breastfeeding, Artificial Intelligence (AI), Motivation, Self Efficacy
- Trial name
- NCT07369947
- Testing
- AI-Assisted Breastfeeding Video
- Where
- Turkey (Türkiye)
- Volunteers
- 63 people, healthy volunteers welcome
- Sponsor
- Istanbul University - Cerrahpasa
Cephalometric Analysis, Cephalometry
Comparison of Digital Analysis and Artificial Intelligence for Cephalometric Tracing
This study aims to evaluate the accuracy and reliability of artificial intelligence (AI)-based cephalometric analysis compared with digital manual tracing.
- Conditions
- Cephalometric Analysis, Cephalometry, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis
- Trial name
- NCT07664488
- Testing
- Cephalometric Analysis
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- University of Pavia
AI-assisted Colonoscopy
AI_Colonoscopy_for_Fellows
The goal of this study is to look at how good artificial intelligence (AI) assisted colonoscopy is compared to conventional colonoscopy in detecting polyps when used by gastroenterology fellows.
- Trial name
- NCT07661914
- Testing
- AI assisted colonoscopy, Conventional Colonoscopy
- Where
- United States
- Volunteers
- 8 people, healthy volunteers welcome
- Sponsor
- University of Oklahoma