Clinical trials: Generative Artificial Intelligence
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
Type 2 Diabetes Mellitus, Medical Education
Generative AI-Based Simulation for Diagnostic Communication in Type 2 Diabetes (DIALOGUE-DM2)
This randomized controlled trial evaluates the effectiveness of a generative artificial intelligence (AI)-based simulation program in improving diagnostic communication skills among medical students.
- Conditions
- Type 2 Diabetes Mellitus, Medical Education, Diagnostic Communication, Artificial Intelligence Simulation
- Trial name
- DIALOGUE-DM2 (NCT07252193)
- Testing
- AI-Based Simulation Training (DIALOGUE-DM2), Traditional Training
- Where
- Mexico
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Universidad Nacional Autonoma de Mexico
Burnout, Healthcare Workers
Generative Artificial Intelligence Nurse Staffing Study
This study is guided by Maslach's Burnout Theory and with Normalization Process Theory supporting the implementation of the GAINS intervention by facilitating its integration into routine system-level practice.
- Trial name
- GAINS (NCT06978790)
- Testing
- Generative Artificial Intelligence Nurse Staffing (GAINS) Intervention
- Volunteers
- 660 people, healthy volunteers welcome
- Sponsor
- University of Hawaii
Nursing Education
AI-Assisted Child Health Podcast Education for Nursing Students
This randomized controlled study will evaluate the effect of developing and implementing artificial intelligence (AI)-assisted child health podcasts for parents on nursing students' attitudes toward clinical practice and learning…
- Trial name
- NCT07899541
- Testing
- AI-Assisted Child Health Podcast Development and Implementation
- Where
- Turkey (Türkiye)
- Volunteers
- 23 people, healthy volunteers welcome
- Sponsor
- Izmir University of Economics
Medical Education, Clinical Skills
AI-Assisted Feedback for Learning Standardized Tuina Skills
The goal of this educational study is to determine whether personalized feedback generated using sensor data and generative artificial intelligence (AI) can improve the learning of standardized Tuina skills among rehabilitation…
- Trial name
- AI-TUINA (NCT07767916)
- Testing
- AI-Supported Personalized Feedback, Sensor-Based Data Feedback, Traditional Instructor Feedback
- Volunteers
- 81 people, healthy volunteers welcome
- Sponsor
- Zhejiang University
Palliative Care, Generative Artificial Intelligence
Patient Aid for Theory-Driven Health Communication (PATH): Translating Goal-Power Theory Into an Instrument and Generative AI Support for Palliative Care Communication
The goal of this clinical trial is to learn whether an artificial intelligence (AI)-supported communication tool can help improve communication between people receiving palliative care and their healthcare providers.
- Conditions
- Palliative Care, Generative Artificial Intelligence, Natural Language Processing (NLP)
- Trial name
- NCT07692711
- Testing
- NurseChat+
- Where
- Taiwan
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
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
Artifical Intelligence, Generative Artificial Intelligence
AI-Driven Video Avatars vs. Customized GPTs: Professional English Learning Among Nursing Students
The goal of this study is to evaluate and compare the effectiveness of two generative artificial intelligence technologies (an interactive AI video avatar vs.
- Conditions
- Artifical Intelligence, Generative Artificial Intelligence, Education, Nursing Students
- Trial name
- NCT07897422
- Testing
- Interactive AI Video Avatar, Personalized GPT Interface
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Manisa Celal Bayar University
Diagnosis, Clinical Decision-making
Reasoning Enrichment With Feedback From IA in NEphrology Trial
The goal of this clinical trial is to learn how artificial intelligence (AI) may help doctors make diagnoses in kidney medicine.
- Conditions
- Diagnosis, Clinical Decision-making, Artificial Intelligence (AI) in Diagnosis, Decision Support Systems, Clinical
- Trial name
- REFINe (NCT07352475)
- Testing
- AI suggestion
- Where
- France
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University Hospital, Lille
Shared Decision Making, Health Literacy
Designing a Large Language Model Architecture for Shared Decision Making and Informed Intentions
This study investigates a novel, agentic Large Language Model (LLM) architecture designed to facilitate Shared Decision-Making (SDM) in healthcare.
- Conditions
- Shared Decision Making, Health Literacy, Patient Participation, Artificial Intelligence
- Trial name
- DEONCAI3-1 (NCT07827924)
- Testing
- Agentic LLM Chatbot, Usual Care LLM Chatbot, IQWiG Standard Brochure
- Volunteers
- 330 people, healthy volunteers welcome
- Sponsor
- Harding Center for Risk Literacy
Clinical Decision Support
Artificial Intelligence (AI)-Initiated Clinical Decision Support in Hospitalist Practice
This study will evaluate the feasibility of using artificial intelligence (AI)-generated clinical decision support during routine inpatient hospital medicine care.
- Trial name
- NCT07889063
- Testing
- AI Clinical Decision Support: Automated EHR Data Retrieval, AI Clinical Decision Support: Admission H&P Note
- Where
- 2 sites in United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Cedars-Sinai Medical Center
Medical Education
AI-Generated and Rule-Based Individualized Feedback for Medical Students' Nephrology Learning
Medical education increasingly emphasizes individualized learning and formative assessment; however, providing timely and personalized feedback to students remains challenging because of limited faculty resources.
- Trial name
- AIFB-NR (NCT07871526)
- Testing
- AI-Generated Individualized Feedback, Rule-Based Individualized Feedback, No Individualized Feedback
- Where
- China
- Volunteers
- 190 people, healthy volunteers welcome
- Sponsor
- Dou Fulin
Anterior Segment Diseases
Multimodal Deep Learning Model for Multi-task Diagnosis and Triage Suggestions of Ophthalmic Diseases
Accurate and comprehensive interpretation of anterior segment diseases from slit-lamp and smartphone photographs remains a clinical challenge due to the limited specificity and structure of existing Artificial Intelligence tools.
- Trial name
- NCT07447973
- Testing
- Multimodal Vision-language Model Diagnosis
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Guangdong Provincial People's Hospital
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
Primary Care Patients
AI to Create Accessible & Reliable Patient Education Materials
This study investigates the use of Generative AI (GAI) to support primary care practices in delivering accurate, accessible patient education.
- Trial name
- AI-CARE (NCT06997107)
- Testing
- Health promotional messages generated by Artificial Intelligence, Health promotional messages generated by humans
- Where
- Canada
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Hopital Montfort
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
Clinical Reasoning in Nursing Education, Virtual Simulation
MAGICS - Multi-Agent Generative AI in Clinical Simulation for Clinical Deterioration Training
This study compares the effectiveness of a Generative AI-integrated blended simulation programme and high-fidelity simulation alone on nursing students' clinical reasoning and learning experience during deterioration training
- Conditions
- Clinical Reasoning in Nursing Education, Virtual Simulation, Artificial Intelligence in Education, Deterioration, Clinical
- Trial name
- MAGICS (NCT07872735)
- Testing
- Generative AI-integrated Blended Simulation, High Fidelity Simulation
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- National University of Singapore
Generative Artificial Intelligence
Implementation of a Blended Online and Offline Teaching Model
This study aims to design, implement, and evaluate a blended online and offline teaching model for Internal Medicine Nursing, integrating generative artificial intelligence (GAI), a virtual simulation platform, card-based…
- Trial name
- NCT07189611
- Testing
- A blended online and offline teaching model for internal medicine nursing practice based on generative artificial intelligence
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Hengxu Wang
Prostate Cancer (Adenocarcinoma), Bladder Cancer
Enhancing Readability of Lay Abstracts and Summaries for Medical Knowledge Using Generative Artificial Intelligence (BRIDGE AI 3)
This trial tests if AI can help make medical info clear and readable. Many patients struggle to find medical informations that easy to read and understand from verified medical sources.
- Conditions
- Prostate Cancer (Adenocarcinoma), Bladder Cancer, Kidney Cancers, Testis Cancer
- Trial name
- NCT07568444
- Testing
- Pub2Post
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- University of Southern California
Clinical Competence, Communication Skills
Generative AI Simulated Patients Versus Expert Demonstration Videos for Psychiatric Interview Training in Occupational Therapy Students
The goal of this study is to compare two methods for teaching psychiatric work-history interviewing to third-year occupational therapy students: practice with a generative AI simulated patient and an expert demonstration video.
- Conditions
- Clinical Competence, Communication Skills, Self Efficacy
- Trial name
- NCT07896525
- Testing
- Generative AI simulated patient, Expert demonstration video
- Where
- Taiwan
- Volunteers
- 53 people, healthy volunteers welcome
- Sponsor
- Chang Gung Memorial Hospital