Clinical trials: Large Language Models
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
Psychological Stress, Perceived Stress
A Persian AI-Based CBT Chatbot and Voice Analysis System for Managing Perceived Stress
This pilot randomized controlled trial aims to evaluate a Persian-language artificial intelligence (AI)-based cognitive behavioral therapy (CBT) chatbot designed to support adults in managing perceived stress.
- Trial name
- PersianAI-CBT (NCT07840469)
- Testing
- Persian AI-Based CBT Chatbot, Active Mental Health Content
- Where
- Iran
- Volunteers
- 120 people
- Sponsor
- Hamid Reza Marateb
Educational Assessment, Artifical Intelligence
Large Language Models Versus Human Examiners for Grading Physiotherapy Clinical Cases
This study evaluates whether large language models (LLMs) can reliably assess written clinical-reasoning case examinations completed by undergraduate physiotherapy students, compared with faculty assessment.
- Conditions
- Educational Assessment, Artifical Intelligence, Physical Therapy Education
- Trial name
- PACE-AI (NCT07677202)
- Testing
- LLM-based assessment, Faculty assessment (reference standard)
- Where
- Spain
- Volunteers
- 65 people, healthy volunteers welcome
- Sponsor
- Neuron, Spain
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
Nonsmall Cell Lung Cancer
Evaluating the Efficacy and Safety of AI Localization Models in Multidisciplinary Team Care for NSCLC
The goal of this clinical trial is to evaluate the effectiveness and safety of a locally deployed artificial intelligence (AI) decision-support model in the multidisciplinary team (MDT) process for patients with non-small cell…
- Trial name
- NCT07626736
- Testing
- Treat Regimen
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Wen-zhao ZHONG
Coronary Heart Disease (CHD), Artifical Intelligence
Construction and Validation of a Coronary Artery Disease-Specific Large Language Model and Its Evaluation Framework (CorAI)
Coronary artery disease (CAD) affects an estimated 11.39 million people in China, and mortality has continued to rise since 2012.
- Trial name
- CorAI (NCT07766551)
- Testing
- No Intervention: Observational Cohort
- Where
- 3 sites in China
- Volunteers
- 640 people
- Sponsor
- China National Center for Cardiovascular Diseases
Degenerative Knee Disease
LLM-Guided Rehabilitation in Degenerative Knee Disease
This randomized, four-arm clinical trial will investigate the effects of large language model (LLM)-assisted exercise prescriptions integrated with conventional physiotherapy on pain, function and quality of life in adults with…
- Trial name
- LLM-RehabKnee (NCT07267962)
- Testing
- Supervised conventional physiotherapy, ChatGPT-5-assisted exercise planning, DeepSeek V3.1-assisted exercise planning
- Where
- Turkey (Türkiye)
- Volunteers
- 84 people
- Sponsor
- Kirsehir Ahi Evran Universitesi
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
Chest Pain
The Application of Large Language Model in Emergency Chest Pain Triage
This study will evaluate the accuracy and efficiency of large language model in emergency triage.
- Trial name
- ALERT (NCT06493175)
- Testing
- Application of large language model in emergency chest pain triage., According to the normal procedures to receive medical treatment
- Where
- China
- Volunteers
- 1,189 people
- Sponsor
- Peking University Third Hospital
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
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
Acute Myocardial Infarction, Large Language Models
Acute Myocardial Infarction Clinical Intelligent Decision Support System
Acute Myocardial Infarction (AMI) remains the leading cause of cardiovascular mortality globally. In China, while the incidence of AMI is escalating at an annual rate of 5.2%, significant clinical challenges persist: diagnostic…
- Conditions
- Acute Myocardial Infarction, Large Language Models, Clinical Decision Support System
- Trial name
- AMI-CIDSS (NCT07367399)
- Where
- China
- Volunteers
- 15,000 people
- Sponsor
- Beijing Anzhen Hospital
Rectal Cancer
Concordance Between Large Language Model and Multidisciplinary Team Recommendations in Rectal Cancer
This prospective single-center observational study will evaluate the concordance between recommendations generated by a locally deployed large language model and standardized multidisciplinary team recommendations for patients…
- Trial name
- NCT07595107
- Testing
- Large Language Model Recommendation Generation
- Where
- China
- Volunteers
- 180 people
- Sponsor
- Shandong Cancer Hospital and Institute
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
Nervous System Diseases
Domain-Specific Large Language Model Assistance for Emergency Neurological Diagnosis and Treatment（DEMAND）
This study will evaluate whether Xuanwu-NeuroAid 2.0, a large language model for emergency neurology, can improve 30-day diagnostic quality in adults with acute neurological symptoms.
- Trial name
- NCT07626229
- Testing
- Xuanwu-NeuroAid 2.0
- Where
- 3 sites in China
- Volunteers
- 1,381 people
- Sponsor
- Capital Medical University
Hypertrophic Cardiomyopathy (HCM), Cardiomyopathy
Large Language Models To Improve the Quality of Care of Cardiology Patients
This study evaluates the impact of large language models (LLMs) versus traditional decision support tools on clinical decision-making in cardiology.
- Conditions
- Hypertrophic Cardiomyopathy (HCM), Cardiomyopathy, Genetic Disease, Cardiology
- Trial name
- NCT06935253
- Testing
- Large Language Model
- Where
- United States
- Volunteers
- 12 people
- Sponsor
- Stanford 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
Bronchopulmonary Dysplasia
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data from the First Three Postnatal Weeks with Large Language Models: A Retrospective Study This retrospective, observational study aims to evaluate…
- Trial name
- NCT07525167
- Testing
- Artificial Intelligence-Based Risk Prediction
- Where
- Turkey (Türkiye)
- Volunteers
- 108 people
- Sponsor
- Konya City Hospital
Spinal Cord Injury
Large Language Models for Epidural Stimulation Electrode Mapping in Spinal Cord Injury
This observational and methodological study aims to compare the performance of large language models in generating electrode contact configuration recommendations for epidural electrical stimulation in spinal cord injury.
- Trial name
- NCT07817238
- Testing
- ChatGPT-4o Large Language Model, Claude Large Language Model, Grok 3 Large Language Model
- Where
- Turkey (Türkiye)
- Volunteers
- 20 people
- Sponsor
- Istanbul Gelisim University
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