Clinical trials: Large Language Models
Complete Blood Count Review
Multi-center Validation Study of a Large Language Model-based Intelligent Agent for Blood Cell Analysis
I. Study Background: Currently, in most medical institutions, the review of blood cell analysis still heavily relies on manual verification by laboratory staff.
- Trial name
- NCT07607184
- Testing
- LLM-Assisted Review Group
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- Huashan Hospital
TCM Constitution Theory
Research on an Intelligent Health Recommendation System for Chronic Disease Comorbidity Integrating TCM
1. Construct a Traditional Chinese Medicine (TCM) constitution database, clarify the distribution patterns of TCM constitution in populations with comorbid "three-high" conditions (hypertension, hyperlipidemia, and hyperglycemia)…
- Trial name
- NCT07308366
- Testing
- Multimodal AI Models
- Volunteers
- 195 people
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Thyroid Cancer, Large Language Models
Evaluation of an Artificial Intelligence-enabled Clinical Assistant to Support Thyroid Cancer Management
This study aims to evaluate the clinical feasibility of adopting artificial intelligence (AI)-based models to improve clinical management of thyroid cancer.
- Trial name
- NCT07234539
- Testing
- AI-enabled clinical assistant
- Where
- 2 sites in Hong Kong
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Breast Cancer
Research on the Development and Validation of Personalized Exercise Prescriptions for Breast Cancer Patients Based on Large Language Models
The goal of this observational study is to develop and evaluate a large language model (LLM)-based decision support system for exercise prescription in breast cancer patients, aiming to provide personalized decision-making…
- Trial name
- NCT07619781
- Where
- China
- Volunteers
- 220 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen 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
Heart Failure With Preserved Ejection Fraction
Application of Multimodal Large Language Model in HFpEF
This study will validate the effectiveness of a multimodal large language model to screen for heart failure with preserved ejection fraction (HFpEF), comparing it with the traditional clinical standardized assessment process.
- Trial name
- MeG-HFpEF (NCT06486649)
- Testing
- Multimodal Large Language Model Diagnosis, Routine diagnostic and therapeutic procedure
- Where
- China
- Volunteers
- 80 people
- Sponsor
- Peking University Third Hospital
Large Language Models
Physician Response Evaluation With Contextual Insights vs. Standard Engines - Artificial Intelligence RAG vs LLM Clinical Decision Support
Clinical decision support tools powered by artificial intelligence (AI) are being rapidly integrated into medical practice. Two leading systems currently available to clinicians are OpenEvidence, which uses retrieval-augmented…
- Trial name
- PRECISE (NCT07037940)
- Testing
- OpenEvidence, GPT-4
- Where
- 2 sites in United States
- Volunteers
- 41 people, healthy volunteers welcome
- Sponsor
- Montefiore Medical Center
Subacromial Pain Syndrome
ChatGPT and DeepSeek-Assisted Rehabilitation in Subacromial Pain
This study aims to evaluate the effects of rehabilitation programs supported by artificial intelligence-based large language models (LLMs), specifically ChatGPT and DeepSeek, in individuals with subacromial pain syndrome (SAPS).
- Trial name
- LLM-RehabSP (NCT07148687)
- Testing
- Conventional Exercise Program, ChatGPT-Guided Rehabilitation, DeepSeek-Guided Rehabilitation
- Where
- Turkey (Türkiye)
- Volunteers
- 75 people
- Sponsor
- Kirsehir Ahi Evran Universitesi
Dementia
Large Language Model for Understanding and Monitoring Elderly Neurocognition
Dementia affects millions of people worldwide, and early diagnosis is essential for getting the right care and support. Doctors rely on collateral histories (accounts from family members or caregivers) to understand changes in a…
- Trial name
- LUMEN (NCT07347431)
- Testing
- LUMEN prototype software interaction
- Where
- United Kingdom
- Volunteers
- 60 people
- Sponsor
- Northumbria Healthcare NHS Foundation Trust
Glaucoma, Eye Disorders
Effectiveness of a Large Language Model-Based Educational Tool on Visual Field Test Reliability in Glaucoma Patients
The purpose of this study is to evaluate whether a large language model (LLM)-based audiovisual educational tool improves the test time and reliability of standard automated perimetry (SAP) using the SITA Standard 24-2 protocol…
- Conditions
- Glaucoma, Eye Disorders, Visual Fields, Visual Field Tests
- Trial name
- NCT07327242
- Testing
- LLM-based Education
- Where
- United States
- Volunteers
- 80 people
- Sponsor
- Stanford University
Myopia, Large Language Model
Development and Validation of a Large Language Model-based Myopia Assistant System
Myopia is a rapidly growing global health concern, and there is an urgent need for advanced tools that can facilitate personalized healthcare strategies.
- Trial name
- NCT06607822
- Testing
- A patient-centered assistant system based on Large-Language Model (LLM)
- Where
- China
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- The Hong Kong Polytechnic University
Communication, Artificial Intelligence (AI)
Enhancing Interdisciplinary Understanding of Ophthalmology Notes Through a Local Large Language Model
This prospective, randomized controlled trial evaluated the efficacy of adding Large Language model (LLM)-generated Plain Language Summaries (PLSs) to Standard Ophthalmology Notes (SONs) in enhancing comprehension among…
- Conditions
- Communication, Artificial Intelligence (AI), Artificial Intelligence Technology, Interdisciplinary Communication
- Trial name
- NCT06624605
- Testing
- Large Language Model-generated Plain Language Summary of Ophthalmology notes
- Where
- United States
- Volunteers
- 851 people
- Sponsor
- John J Chen
All Conditions
Can Feedback From a Large Language Model Improve Health Care Quality?
The goal of this study is to learn if computer-assisted advice can help improve patient care in Nigerian health clinics. The main question it aims to answer is: does giving healthcare workers instant computer feedback help them…
- Trial name
- NCT06823765
- Testing
- Large Language Model Clinical Decision Support
- Where
- 2 sites in Nigeria
- Volunteers
- 491 people
- Sponsor
- Yale University
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
Chatbot-Based Training, Hemodialysis
DialysisBot: AI Chatbot for Hemodialysis Self-Management
End-stage kidney disease requiring hemodialysis is a chronic condition with substantial clinical, functional, and psychosocial burden.
- Conditions
- Chatbot-Based Training, Hemodialysis, Self-management
- Trial name
- NCT07830810
- Testing
- DialysisBot
- Where
- Italy
- Volunteers
- 40 people
- Sponsor
- University of Rome Tor Vergata
Perioperative Risk Assessment
Frailty Assessment Reveals Cognitive Differences in ASA Classification: Anesthesiologists vs Large Language Models
The American Society of Anesthesiologists (ASA) Physical Status Classification System is widely used to assess perioperative risk, but it does not explicitly include frailty as a standardized variable.
- Trial name
- ASA-AI (NCT07399938)
- Testing
- Observational Assessment Only
- Where
- Turkey (Türkiye)
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Fatih Sultan Mehmet Training and Research Hospital
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
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
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
Clinical Decision-making
Physician Reasoning on Management Cases With Large Language Models
This study will evaluate the effect of providing access to GPT-4, a large language model, compared to traditional management decision support tools on performance on case-based management reasoning tasks.
- Trial name
- NCT06208423
- Testing
- GPT-4
- Where
- United States
- Volunteers
- 92 people, healthy volunteers welcome
- Sponsor
- Stanford University