Clinical trials: Large Language Model
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
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
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
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
Chatbot, Large Language Model
Effects of a Large Language Model-Driven Chatbot on Reproductive Concerns After Cancer
Reproductive health has emerged as a critical yet overlooked concern among Adolescent and Young Adult (AYA) cancer survivors, given their compromised potential for biological parenthood in prime childbearing years.
- Conditions
- Chatbot, Large Language Model, Adolescent and Young Adult Cancer Survivors, Reproductive Health
- Trial name
- NCT07741266
- Testing
- Chatbot, Electronic brochure
- Where
- 2 sites in China, Hong Kong
- Volunteers
- 60 people
- Sponsor
- The Hong Kong Polytechnic University
Clinician-in-the-loop, Clinical Documentation
LLM-Assisted vs Manual Writing for Clinical Documentation: Effects on Time and Quality
The goal of this clinical trial is to learn whether an LLM-assisted writing workflow can reduce the time to complete hospital discharge summaries and discharge referrals and maintain or improve document quality compared with…
- Conditions
- Clinician-in-the-loop, Clinical Documentation, Large Language Model
- Trial name
- NCT07187050
- Testing
- Template-Based LLM Assistant, Manual Writing
- Where
- Japan
- Volunteers
- 21 people
- Sponsor
- Kyoto University, Graduate School of Medicine
Polyneuropathies
ChatGPT in the Diagnosis and Management of Complex Polyneuropathies: Comparative Analysis With Neurologists Using Real-World Cases
BACKGROUND AND PURPOSE Polyneuropathies are diseases affecting the peripheral nerves that occur in approximately 1% of the general population, rising to up to 13% among older adults.
- Trial name
- REASON (NCT07493681)
- Testing
- ChatGPT-4o, chatGPT
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- Istituto Clinico Humanitas
Cancer, Respiratory Failure
Multi-Disciplinary Treatment on the Anthropomorphism of Large Language Models
This retrospective clinical trial aims to better explore the potential of large language models in medicine by comparing the effectiveness of MDT consultations conducted by human doctors with those conducted by large language…
- Conditions
- Cancer, Respiratory Failure, Heart Diseases, Infections
- Trial name
- MDTALLM (NCT06627985)
- Testing
- GPT-4o, GPT-4o mini, MedicalGPT
- Where
- China
- Volunteers
- 300 people
- Sponsor
- North Sichuan Medical College
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
Pediatric Patients, Pediatric Patients in Hospital Settings
Impact of Conversational Approaches in Pediatric Social Robot-Mediated Interventions
This study examines how different robot dialogue systems (rule-based vs. large language model-based) and content types (emotional support vs.
- Conditions
- Pediatric Patients, Pediatric Patients in Hospital Settings, Hospitalized Children
- Trial name
- PRIA (NCT07389902)
- Testing
- Robot-Mediated Emotional Support Activity, Robot-Mediated Safety Education Activity
- Where
- South Korea
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Samsung Medical Center
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
Peritoneal Dialysis (PD), Large Language Models
A Simulated Case Study of a Peritoneal Dialysis-Specialized Large Language Model Assisting Doctors in Improving Decision-Making in Peritoneal Dialysis Management
This study is a randomized controlled trial based on simulated clinical cases, aiming to establish a standardized evaluation system for PD physicians, to assess the differences in PD management quality between a workflow assisted…
- Trial name
- NCT07724327
- Testing
- Peritoneal dialysis-specialized large language model.
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
Diagnosis
Evaluation of a Retrieval Augmented Large Language Model as a Diagnostic Copilot in Rheumatology
This trial evaluates whether providing physicians with access to Prof. Valmed, a clinical decision support medical product, improves identification of rheumatic diseases and formulation of differential diagnoses compared with…
- Trial name
- ALLIANCE (NCT07166692)
- Testing
- Prof. Valmed
- Where
- Germany
- Volunteers
- 82 people, healthy volunteers welcome
- Sponsor
- Philipps University Marburg
Diagnosis
The Impact of Large Language Models on Diagnostic Reasoning Among LLM-Trained Medical Doctors
This study aims to evaluate whether large language model-trained medical doctors demonstrate enhanced diagnostic reasoning performance when utilizing ChatGPT-4o alongside conventional resources compared to using conventional…
- Trial name
- NCT06774612
- Testing
- ChatGPT-4o
- Where
- Pakistan
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Lahore University of Management Sciences
Food Consumption, Sustainable Food Consumption
Linguistically Tailored Health Messages to Encourage Plant-Based Food Choices in Adolescents
The goal of this clinical trial is to investigate the effectiveness of linguistically tailored messages for promoting plant-based food choices in adolescents.
- Conditions
- Food Consumption, Sustainable Food Consumption, Sustainable Healthy Eating Behaviour
- Trial name
- NCT06742346
- Testing
- Non Tailored Messages, Linguistically tailored health messages
- Where
- 2 sites in Ireland, United Kingdom
- Volunteers
- 600 people
- Sponsor
- Erasmus University Rotterdam
High-risk Pregnancy, Hospitalization
LLM-Generated Medical Summaries During Hospitalization to Improve Patient Activation in High-Risk Pregnancies
The goal of this clinical trial is to learn if AI-generated medical summaries help hospitalized pregnant participants better understand and actively participate in their own care.
- Conditions
- High-risk Pregnancy, Hospitalization, Patient Activation, Artificial Intelligence (AI)
- Trial name
- NCT07823517
- Testing
- LLM-Generated Medical Summaries
- Where
- Israel
- Volunteers
- 200 people
- Sponsor
- Sheba Medical Center
Breast Cancer
An AI Model Predicts the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer: a Multicenter, Bidirectional Cohort Study
Neoadjuvant chemotherapy is an important part of the systematic treatment of breast cancer, and it is of great clinical significance to predict the efficacy of neoadjuvant chemotherapy in early stage.
- Trial name
- NCT06510127
- Where
- China
- Volunteers
- 840 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University