Clinical trials: Generative Artificial Intelligence
Inpatient Internal Medicine Patients, Patient Discharge
A Pragmatic Trial of AI-Assisted Discharge Summary Generation
The goal of this study is to learn whether an artificial intelligence (AI) tool built into the electronic health record helps hospital physicians write discharge summaries.
- Conditions
- Inpatient Internal Medicine Patients, Patient Discharge, Documentation, Artificial Intelligence (AI)
- Trial name
- DRAFT-AI (NCT07866001)
- Testing
- Epic Discharge Summary Hospital Course Generator
- Volunteers
- 80 people
- Sponsor
- Unity Health Toronto
Atrial Fibrillation (AF)
Patient Perceived Empathy of an AI Chatbot for Atrial Fibrillation Education
Atrial Fibrillation is a chronic disease with significant health consequences like increased risk of stroke, heart failure, heart attack and death.
- Trial name
- NCT06684457
- Testing
- Atrial Fibrillation Education
- Where
- United States
- Volunteers
- 40 people
- Sponsor
- University of Pittsburgh
Nurse's Role, Anxiety
Nursing Students' Attitudes Towards Artificial Intelligence and Exam Anxiety Levels
This study was planned to determine nursing students' attitudes towards artificial intelligence and test anxiety levels after using ChatGPT and Google Bard in their education.
- Conditions
- Nurse's Role, Anxiety, Educational Problems
- Trial name
- NCT06217926
- Testing
- Experimental Group (Educational content; ChatGPT and Google Bard training)
- Where
- Turkey (Türkiye)
- Volunteers
- 211 people, healthy volunteers welcome
- Sponsor
- Sinop University
Hospital Discharge Summary Understanding
Using Generative Artificial Intelligence (AI) to Create Patient-Friendly Discharge Summaries
This will be an open-label, parallel-group, randomized trial. Patients will be randomized to review the patient-friendly discharge instructions at the time of discharge (intervention group) vs the standard of care.
- Trial name
- NCT06711458
- Testing
- AI-Generated Discharge Instructions, Standard of Care Discharge Instructions
- Where
- United States
- Volunteers
- 61 people
- Sponsor
- NYU Langone Health
Pregnancy, Prenatal Care
Comparing AI and Standard Pregnancy Chatbots
Many pregnant women in India use mobile phones to get health information. Nivi runs a free WhatsApp service called askNivi that answers questions about pregnancy and sends reminders about prenatal care visits.
- Conditions
- Pregnancy, Prenatal Care, Maternal Health
- Trial name
- NCT07883993
- Testing
- Scripted maternal health chatbot, MATRI retrieval-augmented maternal health chatbot
- Where
- India
- Volunteers
- 2,500 people, healthy volunteers welcome
- Sponsor
- Nivi, Inc.
ICL, Vault
Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation
To evaluate the efficacy of a corneal tomography Imaging model in predicting postoperative vault based on preoperative corneal topography in Implantable Collamer Lens (ICL) surgery.
- Conditions
- ICL, Vault, Deep Learning, AI (Artificial Intelligence)
- Trial name
- NCT07146737
- Testing
- Corneal tomography generation model after ICL surgery
- Where
- China
- Volunteers
- 818 people
- Sponsor
- Second Affiliated Hospital of Nanchang University
Clinical, Education
Generative AI-Assisted Teaching and Clinical Reasoning Among TCM Interns
This study evaluated the effects of generative artificial intelligence (GAI)-assisted education on clinical reasoning performance among traditional Chinese medicine (TCM) interns.
- Trial name
- NCT07891325
- Testing
- GAI-Assisted Clinical Education, Conventional Clinical Education
- Where
- Taiwan
- Volunteers
- 38 people, healthy volunteers welcome
- Sponsor
- Taipei City Hospital
Study Aims to Develop and Validate a Generative AI-assistant Designed to Optimize Radiologists' Workflows and to Evaluate Its Performance
Generative AI Radiologist's Workstation
This study aims to develop a generative AI assistant for radiologists to automate the processing of electronic medical records (EMRs) and provide relevant clinical information, optimizing diagnostic interpretation workflows.
- Trial name
- GARW (NCT07057830)
- Where
- 2 sites in Russia
- Volunteers
- 27 people
- Sponsor
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department
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
Rheumatoid Arthritis (RA, Osteoporosis
Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis
Generative AI (GenAI) based on large language models (LLMs) is expected to improve the diagnosis and treatment of autoimmune diseases.
- Conditions
- Rheumatoid Arthritis (RA, Osteoporosis, Osteoarthritis, Interstitial Lung Disease
- Trial name
- NCT07301892
- Testing
- Generative AI prediction report for RA complications
- Where
- China
- Volunteers
- 57 people
- Sponsor
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences
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
Medical Education, Clinical Communication
Adaptive Real-Time Voice Virtual Patients for Clinical Communication Training
This study evaluated whether an emotionally and interactionally adaptive real-time voice virtual patient can improve clinical communication training for resident physicians.
- Conditions
- Medical Education, Clinical Communication, Breaking Bad News Skills
- Trial name
- RSTM-VP (NCT07615621)
- Testing
- Adaptive Real-Time Voice Virtual Patient Training, Non-Adaptive Real-Time Voice Virtual Patient Training, Standardized Patient Training
- Where
- China
- Volunteers
- 195 people, healthy volunteers welcome
- Sponsor
- Wang Shalong
Mental Disorder
Simulating Psychotherapeutic Sessions With Generative Artificial Intelligence
The study assesses the potential of using computational models, specifically large language models, to simulate psychotherapeutic sessions, aiming to improve therapy outcomes and advance therapist training through innovative…
- Trial name
- NCT06813066
- Testing
- High Levels of Common Therapeutic Factors, Low Levels of Common Therapeutic Factors, Standard motivational interviewing
- Where
- Switzerland
- Volunteers
- 520 people
- Sponsor
- University Hospital, Basel, Switzerland
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
Physical Activity
Self-directed Use of Resources for Physical Activity
This is a pilot RCT examining physical activity outcomes at 3 months across 3 conditions: use of large language model (LLM) fully self-directed; use of LLM with guidance; and use of online tools to help with sleep.
- Trial name
- CHARGE (NCT07654868)
- Testing
- LLM alone, LLM enhanced, Sleep promotion
- Volunteers
- 39 people
- Sponsor
- University of Florida
Learning
Application of the AI Platform iLN Based on DeepSeek in the Teaching of Lupus Nephritis
Aim: To evaluate the application effect of the teaching platform iLN in the teaching of lupus nephritis, aiming to provide practical experience and evidence-based support for the implementation of generative AI technology in…
- Trial name
- NCT07706998
- Testing
- An iLN interactive teaching platform, PPT
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Nanjing University
Avoidant Restrictive Food Intake Disorder
Scalable, Clinician-Supervised Generative-AI Food-Chaining Assistant for Pediatric ARFID
Children with Avoidant/Restrictive Food Intake Disorder (ARFID) often lack access to specialty dietitians, and scalable nutritional guidance/food chaining tools are currently not available.
- Trial name
- NCT07006961
- Testing
- Generative AI-based food chaining device
- Volunteers
- 125 people
- Sponsor
- Boston Children's 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