Clinical trials: Large Language Model
Education, AI (Artificial Intelligence)
Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education
The goal of this mixed method interventional study is to develop and test the effectiveness of integrating ChatGPT into the nursing research course to improve research competency among third-year undergraduate nursing students.
- Trial name
- NRAC (NCT07540078)
- Testing
- LLM-Integration
- Where
- Singapore
- Volunteers
- 640 people, healthy volunteers welcome
- Sponsor
- National University Health System, Singapore
HPV Vaccination Rates, HPV Vaccine Awareness
Effectiveness of Large Language Model-Based Chatbot Among Female University Stdents in Improving HPV Vaccine Awareness, Intention and Vaccination Rates
This is an interventional study targeting female university students. The primary objective of the study is to evaluate the effectiveness of a vaccine chatbot in improving HPV vaccination rates.
- Conditions
- HPV Vaccination Rates, HPV Vaccine Awareness, HPV Vaccination Intention
- Trial name
- NCT07351604
- Testing
- Scientific videos, Vaccine chatbot
- Volunteers
- 18,000 people, healthy volunteers welcome
- Sponsor
- Xiamen University
Pulp and Periapical Tissue Disease
Comparative Analysis of Diagnostic Accuracy and Case Difficulty Assessment of Three Large Language Models
This prospective, blinded diagnostic accuracy study aims to compare the performance of three large language models-ChatGPT (GPT-5.5 Pro), Gemini 3.1 Pro, and Claude Opus 4.7-in endodontic diagnosis and case difficulty assessment.
- Trial name
- NCT07732985
- Testing
- ChatGPT (GPT-5.5 Pro), Gemini 3.1 Pro, Claude Opus 4.7
- Volunteers
- 342 people, healthy volunteers welcome
- Sponsor
- Cairo University
Consent Forms, Anesthesia
Effectiveness of Large Language Model for Anaesthesia and Procedural Consent
Patient understanding of anaesthesia risks remains inconsistent due to time constraints, language barriers, and variable clinician communication styles.
- Conditions
- Consent Forms, Anesthesia, Artificial Intelligence (AI)
- Trial name
- PEAR (NCT06949462)
- Testing
- PEAR
- Where
- 2 sites in Singapore
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Singapore General Hospital
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
Subjective Cognitive Decline
LLM-Driven Daily Conversation for Cognitive Health in Older Adults
This study will develop and test a daily conversation platform that uses a large language model, a type of artificial intelligence, to support cognitive health in older adults at high risk of dementia.
- Trial name
- LLM-DCI (NCT07751510)
- Testing
- LLM Conversation Cognitive Interaction, Interest-Based Knowledge Reading, Waitlist Health Education
- Volunteers
- 75 people, healthy volunteers welcome
- Sponsor
- Taipei Medical University Shuang Ho Hospital
The Emergency Response Capabilities of Nurses (Including Occupational Protection, Critical Thinking, Communication Skills and Humanistic Care, Etc.)
Development and Evaluation of a Large Language Model - Based Training Program for Nurses in Public Health Emergencies
The goal of this randomized controlled trial is to evaluate the immediate efficacy of a Large Language Model (LLM)-assisted training program in enhancing nurses' emergency response capabilities in 204 practicing nurses with ≤5…
- Trial name
- NCT07141433
- Testing
- LLM-Assisted Public Health Emergency Training Program, Standard Public Health Emergency Training Program
- Where
- China
- Volunteers
- 204 people, healthy volunteers welcome
- Sponsor
- The Affiliated Hospital Of Guizhou Medical University
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
Diagnosis
Physician Reasoning on Diagnostic Cases With Large Language Models
This study will evaluate the effect of providing access to GPT-4, a large language model, compared to traditional diagnostic decision support tools on performance on case-based diagnostic reasoning tasks.
- Trial name
- NCT06157944
- Testing
- GPT-4
- Where
- United States
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Stanford University
Neurology
Physician Diagnosis of Neurologic Cases With Large Language Models
This study is a prospective randomized controlled trial that aims to evaluate whether large language model (LLM) assistance improves physicians' diagnostic performance compared with conventional assistance.
- Trial name
- NCT07344792
- Testing
- LLM assistance
- Where
- 3 sites in China
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Capital Medical University
Non-emergency Ocular Diseases
Evaluate the Performance of Large Language Models in Ophthalmologic Patient Consultation
The intelligent image models lack an understanding of diagnostic and treatment logic, and have not considered textual information such as symptoms and signs.
- Trial name
- NCT06824389
- Testing
- Consultation Model of large language model in Ophthalmology Clinics
- Where
- China
- Volunteers
- 172 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Medical Education, Artificial Intelligence in Medicine
An AI Educational Agent for Medical Machine Learning Courses
The goal of this interventional study is to evaluate the effectiveness of a Large Language Model (LLM)-based educational AI Agent in graduate students (Masters and PhD) specializing in medicine or nursing who are enrolled in the…
- Trial name
- NCT07449182
- Testing
- KGRAG-based AI Educational Agent System
- Where
- China
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Large Language Models, Acceptability of Health Care
Effect of Perception-based Interventions on Public Acceptance of Using Large Language Models in Medicine
Large language models (LLMs) show promise in medicine, but concerns about their accuracy, coherence, transparency, and ethics remain.
- Conditions
- Large Language Models, Acceptability of Health Care, Perception, Self
- Trial name
- NCT07304908
- Testing
- Perception-based interventions
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Peking University
Tobacco Use, Smoking Cessation
Chatbot Counselling for Smoking Cessation in Youths
The goal of this pilot trial is to develop and examine the trial feasibility and acceptability of a chatbot for smoking cessation in youth smokers. Specific aims include: 1.
- Trial name
- NCT06470776
- Testing
- Chatbot counselling, Peer counselling
- Where
- Hong Kong
- Volunteers
- 154 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Influenza, Human, Vaccine Hesitancy
Conversational AI for Adult Flu Vaccination Decisions
This randomized trial tests whether an online guide combining short evidence cards with an AI-guided conversation increases flu-vaccination intention among US adults who haven't decided whether to get a flu vaccine this season.
- Trial name
- NCT07896850
- Testing
- Flu vaccination guide, Accident safety guide
- Where
- United States
- Volunteers
- 220 people, healthy volunteers welcome
- Sponsor
- Calypta Systems, Inc.
Diagnosis
Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning Using Behavioral Nudges
The goal of this randomized controlled trial is to evaluate whether behavioral nudges can reduce automation bias, the uncritical acceptance of automated output, in physicians using large language models (LLM) like ChatGPT-5.1 for…
- Trial name
- NCT07328815
- Testing
- Behavioral Nudge Intervention
- Where
- Pakistan
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Lahore University of Management Sciences
Diagnosis
Automation Bias in Physician-LLM Diagnostic Reasoning
This study aims to systematically measure the extent and patterns of automation bias among physicians when utilizing ChatGPT-4o in clinical decision-making.
- Trial name
- NCT06963957
- Testing
- ChatGPT-4o Recommendations with Hallucinations
- Where
- Pakistan
- Volunteers
- 44 people, healthy volunteers welcome
- Sponsor
- Lahore University of Management Sciences
Type 2 Diabetes
Effect of the Digital Livsstilsverktyget in Conjunction With a Large Language Model on the Prevention of Type 2 Diabetes
The overall aim of the study is to investigate the incidence of type 2 diabetes in individuals who have access to a digital intervention tool as compared with randomized controls during three years.
- Trial name
- NCT07659535
- Testing
- Lifestyle tool
- Where
- Sweden
- Volunteers
- 40,000 people, healthy volunteers welcome
- Sponsor
- Region Skane
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
Headache
LLM-Generated Lay Summaries for Brain MRI Reports
The goal of this clinical trial is to learn if a summary written by artificial intelligence (AI) helps adults understand brain MRI reports for headaches.
- Trial name
- CLEAR-HEAD (NCT07310394)
- Testing
- LLM-generated lay summary
- Where
- France
- Volunteers
- 2,727 people, healthy volunteers welcome
- Sponsor
- University Hospital, Lille