Clinical trials: Large Language Models
Preoperative Care, Patient Education
Integrating ChatGPT in Anesthesia
Patients are waiting for surgery longer than ever before. While hospitals are trying to get patients access to surgery as quickly as possible, a shortage of anesthesia doctors (called anesthesiologists) prevents this.
- Conditions
- Preoperative Care, Patient Education, Anesthesia, Artificial Intelligence
- Trial name
- NCT06652854
- Where
- Canada
- Volunteers
- 190 people, healthy volunteers welcome
- Sponsor
- Ottawa Hospital Research Institute
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
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
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
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
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
Neurology, Emergency
Application of Large Language Models in Emergency Neurology
Emergency neurology covers a wide range of conditions, often involving urgent situations such as acute cerebrovascular diseases, seizures, central nervous system infections, and consciousness disorders.
- Trial name
- NCT06779292
- Testing
- Large Language Model Diagnosis
- Where
- China
- Volunteers
- 433 people
- Sponsor
- Capital Medical 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
Metabolic Dysfunction-Associated Steatotic Liver Disease, Metabolic Alcohol-Related Liver Disease
A Large Language Model-based Chatbot for Alcohol Reduction in Patients With Metabolic Alcohol-Related Liver Disease
The goal of this pilot randomized controlled trial is to evaluate the trial feasibility and acceptability of LLM-based chatbot for reducing alcohol use among patients with metabolic alcohol-related liver disease.
- Trial name
- NCT07450144
- Testing
- LLM-based chatbot, Telephone counseling, Alcohol Brief Intervention
- Where
- Hong Kong
- Volunteers
- 50 people
- Sponsor
- The University of Hong Kong
Atrial Fibrillation Recurrence
Atrial Fibrillation Recurrence Prediction
We aimed to develop an dual-branch deep learning network that integrates feature representations extracted from medical texts using large language models, with structured data features derived from perioperative records of AF…
- Trial name
- NCT06977516
- Where
- 5 sites in China
- Volunteers
- 2,508 people
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
High-Risk Multidisciplinary Care, Clinical Decision Support
ANCHOR Validation Trial in High-Risk Multidisciplinary Care
This pre-registered, pragmatic, three-arm (1:1:1) patient-level randomized controlled trial with mixed-effects analysis at the encounter level tests two questions in real high-risk multidisciplinary clinical encounters at the…
- Conditions
- High-Risk Multidisciplinary Care, Clinical Decision Support, Artificial Intelligence-Assisted Care, Telemedicine
- Trial name
- NCT07597499
- Testing
- Gemini 3.1 Pro with Safety Prompt, ANCHOR Clinical AI Verification Layer (with Gemini 3.1 Pro)
- Where
- United States
- Volunteers
- 240 people
- Sponsor
- Waymark
Rheumatic Diseases
Al to Improve the Diagnosis of Rare Rheumatic Diseases
This trial aims to assess the impact of providing medical students with access to ChatGPT, a state-of-the-art large language model, in comparison to conventional diagnostic decision support tools, on their diagnostic accuracy for…
- Trial name
- AIDRARER (NCT06748170)
- Testing
- ChatGPT
- Where
- Germany
- Volunteers
- 68 people, healthy volunteers welcome
- Sponsor
- Philipps University Marburg
Ophthalmic Diseases (Specific Types Not Restricted)
Research on the Real-World Community Application of Large Language Models
There is an imbalance between the supply and demand of eye care services, especially in local communities and remote areas. To address this, it's important to use new intelligent technologies to expand the reach of eye disease…
- Trial name
- NCT06966882
- Volunteers
- 314 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
LLM-based AI Dialogue Bot, Depression
Young People Aged 18-25 With Depression or Anxiety Mood Participate in an LLM-based Digital Dialogue Intervention Study
This study is a 28-day randomized controlled trial (RCT). Residents were randomly assigned to an intervention group or a waiting group according to the order in which they were successfully contacted by the staff, and each user…
- Conditions
- LLM-based AI Dialogue Bot, Depression, Anxiety
- Trial name
- NCT06346496
- Testing
- Douyin Xinqing AI dialog bot, Douyin Xinqing AI dialog bot for delayed intervention
- Where
- China
- Volunteers
- 657 people, healthy volunteers welcome
- Sponsor
- Institute of Psychology, Chinese Academy of Sciences
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
Trapeziometacarpal Osteoarthritis, Thumb Osteoarthritis
ICF-Based Biopsychosocial Assessment With AI-Assisted Profile Prediction: Trapeziometacarpal Osteoarthritis Model
Trapeziometacarpal osteoarthritis (TMC OA) is a common condition affecting the base of the thumb that causes pain, weakness, and difficulty with daily hand use.
- Conditions
- Trapeziometacarpal Osteoarthritis, Thumb Osteoarthritis, Carpometacarpal Osteoarthritis, Thumb Basal Joint Osteoarthritis
- Trial name
- ICF (NCT07458971)
- Where
- Turkey (Türkiye)
- Volunteers
- 93 people
- Sponsor
- Hacettepe University
Electronic Medical Record, Transitions of Care
Structured Handoff Using Intelligent Framework for Transitions Trial
Inpatient general medicine attendings will be randomized to have an LLM feature turned on to provide a draft of an off-service handoff within Carelign (an EHR-adjacent provider communication tool).
- Conditions
- Electronic Medical Record, Transitions of Care, Physician Workflow, Artificial Intelligence (AI)
- Trial name
- SHIFT (NCT07251907)
- Testing
- LLM tool to draft handoff
- Where
- United States
- Volunteers
- 85 people
- Sponsor
- University of Pennsylvania
Eye Disorders, Cataract Extraction
Effectiveness of a Large Language Model-Based Educational Tool on Intraocular Lens Options
Patients with cataracts disease need to choose what type of artificial lens will go into their eye prior to surgery date. Some lenses are standard and are usually covered by insurance.
- Conditions
- Eye Disorders, Cataract Extraction, Cataract and IOL Surgery, Cataract Surgery Experience
- Trial name
- NCT07317661
- Testing
- LLM-based Education
- Where
- United States
- Volunteers
- 70 people
- Sponsor
- Stanford University
COPD
Using Large Language Models Such As GPT-4 to Assess Guideline Adherence in Patients With Chronic Obstructive Pulmonary Disease
According to studies in the US and the Netherlands, 33-40% of patients with chronic conditions receive care that does not follow guideline recommendations. These findings have also been demonstrated in the management of COPD.
- Trial name
- IMPL-AI-MENT (NCT06410547)
- Testing
- LLM
- Where
- Germany
- Volunteers
- 78 people
- Sponsor
- Charite University, Berlin, Germany
Kidney Transplantation
Performances of Large Language Models in Kidney Allograft Diagnostics
Kidney allograft rejection diagnosis relies on the complex Banff classification, but its application is limited by variability and workload.
- Trial name
- NCT07004660
- Volunteers
- 240 people
- Sponsor
- Paris Translational Research Center for Organ Transplantation