Clinical trials: Large Language Models, active
AI-Assisted Diagnosis, Large Language Models
Improving AI-Assisted Medical Diagnosis and Triage by the General Public
This study is a randomized controlled trial (RCT) investigating whether access to a new LLM interface can improve medical triage and diagnostic accuracy for laypeople compared to access to a standard LLM interface.
- Trial name
- NCT07728513
- Testing
- new GPT-4o Interface, Control
- Where
- Pakistan
- Volunteers
- 220 people, healthy volunteers welcome
- Sponsor
- Lahore University of Management Sciences
Coronary Artery Disease, Atrial Fibrillation (AF)
Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management
This study aims to explore the feasibility of using medical large language models to assist in chronic disease management. By setting up experimental and control group interventions and having experts blindly evaluate anonymized…
- Conditions
- Coronary Artery Disease, Atrial Fibrillation (AF), Heart Failure, Stroke
- Trial name
- NCT07740044
- Testing
- Medical large language model
- Where
- China
- Volunteers
- 20 people
- Sponsor
- Jiangsu Taizhou People's Hospital
Hypertension, Diabetes
LLM-CoManage: Large Language Model-Enabled Co-Management of Hypertension, Diabetes, and Dyslipidemia
This study aims to evaluate the effectiveness of a large language model (LLM)-supported, community-based integrated management model in improving cardiometabolic multimorbidity control among adults with hypertension and…
- Conditions
- Hypertension, Diabetes, Dyslipidemia
- Trial name
- LLM-CoManage (NCT07350486)
- Testing
- LLM-Enabled Co-management
- Where
- 6 sites in China
- Volunteers
- 6,800 people
- Sponsor
- First Hospital of China Medical University
Acute Thoraco-Abdominal Emergency Lesions
Vision-Language-Based Large-Scale Model for Emergency Screening
This is a single-center, prospective, stratified 1:1 parallel-group randomized superiority diagnostic trial at The First Hospital of Jilin University.
- Trial name
- NCT07899931
- Testing
- powER vision-language large-model assisted CT reading, Conventional CT reading without AI assistance
- Where
- China
- Volunteers
- 640 people
- Sponsor
- The First Hospital of Jilin University
Emergency Care, Clinical Decision Support
Artificial Intelligence(AI) in the Emergency Department (ED) in Cologne
This retrospective, non-interventional study evaluates the prognostic performance of open-weight Large Language Models (LLMs) in the setting of a German academic emergency department.
- Conditions
- Emergency Care, Clinical Decision Support, Triage
- Trial name
- KINA-CO (NCT07725965)
- Where
- Germany
- Volunteers
- 100,000 people
- Sponsor
- University of Cologne
Tinnitus
Fudan Tinnitus Doctor for Tinnitus Management
The goal of this clinical trial is to evaluate whether a conversational artificial intelligence-based digital intervention can improve symptoms in adults with chronic subjective tinnitus.
- Trial name
- NCT07558837
- Testing
- Fudan Tinnitus Doctor (FTD) System, Non-conversational Digital Education Program
- Where
- China
- Volunteers
- 256 people
- Sponsor
- Eye & ENT Hospital of Fudan University
Peritoneal Dialysis (PD), Large Language Models
Peritoneal Dialysis (PD) Specialized LLM for PD Management
This study conducted a randomized controlled trial using clinical vignettes to evaluate differences in the quality of PD management among two large language model-assisted workflows and a physician-only decision-making process…
- Trial name
- PIONEER-PD (NCT07539428)
- Testing
- Peritoneal dialysis-specialized large language model., Generalized LLM tools such as deepseek
- Where
- China
- Volunteers
- 150 people
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
Metastatic Prostate Cancer
AI-Assisted Patient Support in mHSPC
The purpose of this multicenter, open-label, randomized controlled trial is to evaluate whether patient-centered support delivered through a large language model (LLM)-based artificial intelligence (AI) agent reduces anxiety in…
- Trial name
- LUMINOUS (NCT07804030)
- Testing
- The Same Platform without AI Agent, AI Agent-Assisted Patient-Centered Support, Delayed AI Agent-Assisted Patient-Centered Support
- Where
- 4 sites in China
- Volunteers
- 160 people
- Sponsor
- Fudan University
Cervical Cancer
Multi-agent LLMs for Decision Support in Cervical Cancer During Pregnancy
The aim of this study is to develop an AI-assisted decision-making system based on multi-agent large language models and to evaluate its effectiveness and accuracy in the diagnosis and treatment of cervical cancer during…
- Trial name
- NCT07318701
- Testing
- multi-disciplinary agents group, real MDT group, junor doctor group
- Volunteers
- 150 people
- Sponsor
- Obstetrics & Gynecology Hospital of Fudan University
Emergency Medicine, Artificial Intelligence (AI)
Diagnostic Accuracy of GPT-4o and Claude for HEART Score Calculation in Chest Pain
This prospective observational diagnostic accuracy study evaluates whether large language models (LLMs) - GPT-4o (OpenAI, gpt-4o-2024-11-20) and Claude (Anthropic, claude-sonnet-4-6) - can accurately calculate HEART scores from…
- Conditions
- Emergency Medicine, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Chest Pain Rule Out Myocardial Infarction
- Trial name
- LLM-HEART (NCT07626060)
- Testing
- GPT-4o HEART Score Calculator, Claude HEART Score Calculator, Three-Expert Consensus HEART Score
- Where
- Turkey (Türkiye)
- Volunteers
- 690 people
- Sponsor
- Marmara University Pendik Training and Research Hospital
Radiography, Oral Health
Large Language Models for Dental Radiology Report Generation From Structured Textual Data
The purpose of this observational methodological study is to evaluate whether large language models can transform structured dental radiology data into clear narrative radiology reports.
- Conditions
- Radiography, Oral Health, Large Language Model, Natural Language Processing (NLP)
- Trial name
- DENT-LLM (NCT07676318)
- Testing
- Large language model-assisted radiology report generation
- Where
- Poland
- Volunteers
- 100 people
- Sponsor
- Hospital of the Ministry of Interior, Kielce, Poland
Any Chronic, Non-traumatic Orthopedic Condition
Testing an AI Large Language Model Tool for Cognitive Debiasing in Musculoskeletal Care
The goal of this clinical trial is to find out whether using an artificial intelligence (AI) tool called a Large Language Model (LLM) can help patients think more clearly about their symptoms and improve their trust and…
- Trial name
- NCT07022769
- Testing
- LLM-facilitated cognitive debiasing aid
- Where
- United States
- Volunteers
- 150 people
- Sponsor
- University of Texas at Austin
Urinary Stones, Prostate Cancer
Development of an AI-Agent for Urological Disease Diagnosis and Treatment
Urological diseases such as urinary stones, prostate cancer, and bladder cancer are very common and often require highly specialized diagnosis and treatment.
- Conditions
- Urinary Stones, Prostate Cancer, Bladder Cancer
- Trial name
- NCT07721935
- Where
- 3 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Hematologic Neoplasms, Oncologic Disorders
LLM-Generated Plain-Language Patient Synopses to Improve Comprehension in Hematology and Oncology (oncOPAL)
This study tests whether patients with blood cancer or other cancers better understand their medical information when it is rewritten in plain language by an artificial intelligence (AI) system.
- Trial name
- oncOPAL (NCT07519811)
- Testing
- LLM-Generated Plain-Language Patient Synopsis
- Where
- Germany
- Volunteers
- 150 people
- Sponsor
- Technical University of Munich
Type 2 Diabetes Mellitus, Hypertension
LLM-Assisted Diabetes and Hypertension Management by Village Doctors
This is a prospective, assessor-blinded, randomized controlled study designed to evaluate whether large language model (LLM)-assisted decision support can improve village doctors' abilities in the comprehensive management of…
- Trial name
- NCT07678658
- Testing
- LLM
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Jiangsu Taizhou People's Hospital
Gastrointestinal Neoplasm Malignant
Treatment Recommendations for Gastrointestinal Cancers Via Large Language Models
This study will evaluate the utility of ChatGPT in recommending treatment plans for patients with gastrointestinal cancers, using both retrospective and prospective data.
- Trial name
- NCT06002425
- Testing
- Clinician-Directed Treatment Plan, ChatGPT-Assisted Treatment Plan
- Where
- 7 sites in United States, China and 2 more
- Volunteers
- 400 people
- Sponsor
- Chinese Academy of Sciences
Smoking Cessation
Promoting Smoking Cessation in the Community Via "Quit to Win" Contest 2026: Engagement-Focused GenAI-based Chatbot for Real-Time Smoking Cessation Support
The goal of this trial is to learn if chatbot-based instant messaging works to help smoking cessation in general adult smokers. It will also learn about the experience, attitude, and perception of using an LLM-based chatbot.
- Trial name
- QTW2026 (NCT07649044)
- Testing
- AWARD advice, Brief leaflet on health warning and smoking cessation, Referral card
- Where
- Hong Kong
- Volunteers
- 998 people
- Sponsor
- The University of Hong Kong
Respiratory Distress Syndrome, Acute, Severe Community-Acquired Pneumonia
Multimodal Database and Large Language Model for ARDS
The goal of this observational study is to integrate existing clinical cohorts from the research team to establish dedicated cohorts for ARDS and high-risk ARDS patients (primarily SCAP patients), then systematically collect…
- Trial name
- NCT06973733
- Testing
- Clinical data and biospecimen collection
- Volunteers
- 6,500 people
- Sponsor
- China-Japan Friendship Hospital
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
Coronary Heart Disease (CHD)
Scalable Clinical Oversight of Large Language Models Via Uncertainty Triangulation
This prospective, multi-reader, randomized crossover trial evaluates SCOUT (Scalable Clinical Oversight via Uncertainty Triangulation), a model-agnostic meta-verification framework that selectively defers unreliable large…
- Trial name
- SCOUT (NCT07414966)
- Testing
- SCOUT-Assisted Review Workflow, Standard Manual Review Workflow
- Volunteers
- 7 people
- Sponsor
- China National Center for Cardiovascular Diseases