Clinical trials: Artificial Intelligence
Clinical Reasoning in Nursing Education, Virtual Simulation
MAGICS - Multi-Agent Generative AI in Clinical Simulation for Clinical Deterioration Training
This study compares the effectiveness of a Generative AI-integrated blended simulation programme and high-fidelity simulation alone on nursing students' clinical reasoning and learning experience during deterioration training
- Conditions
- Clinical Reasoning in Nursing Education, Virtual Simulation, Artificial Intelligence in Education, Deterioration, Clinical
- Trial name
- MAGICS (NCT07872735)
- Testing
- Generative AI-integrated Blended Simulation, High Fidelity Simulation
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- National University of Singapore
Artificial Intelligence Perception and Attitude
What Should we Measure? A Qualitative Interview Study on Outcomes for Evaluating AI-assisted Medical Image Interpretation.
Background: AI (artificial intelligence) tools are increasingly used to help clinicians interpret medical images such as X-rays, scans, skin photographs and eye images.
- Trial name
- NCT07885150
- Where
- United Kingdom
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- University of Oxford
Diagnostic Imaging, Common Systemic Diseases
Prospective User Study and Clinical Validation of Multimodal Medical Imaging Large Models
Following model development and locking, the fixed model is evaluated in prospectively collected CT cohorts from a single center. The study is observational and does not affect clinical care.
- Conditions
- Diagnostic Imaging, Common Systemic Diseases, Artificial Intelligence (AI)
- Trial name
- NCT07555002
- Testing
- Standalone Radiologist Interpretation, AI-assisted Radiologist Interpretation
- Where
- China
- Volunteers
- 310 people, healthy volunteers welcome
- Sponsor
- The Third Affiliated Hospital of Southern Medical University
Cancer, Shared Decision Making
Use of and Attitudes Towards Large Language Models for Health Information Among People With Cancer, the Public, and Health-care Professionals
This cross-sectional survey examined how people with cancer, the general public and health-care professionals use large language models (LLMs) such as ChatGPT for health information, what they expect from them, how comfortable…
- Conditions
- Cancer, Shared Decision Making, Artificial Intelligence
- Trial name
- NCT07526441
- Where
- Germany
- Volunteers
- 6,632 people, healthy volunteers welcome
- Sponsor
- Technical University of Munich
Procedural Pain Relief, Virtual Reality
AI-Generated Video Distraction Via Virtual Reality for Fear and Pain During Pediatric Circumcision
This randomized controlled trial evaluated the effect of artificial intelligence-generated video distraction delivered via virtual reality on procedural fear and pain in children undergoing circumcision.
- Conditions
- Procedural Pain Relief, Virtual Reality, Fear, Child
- Trial name
- NCT07824427
- Testing
- AI-Generated Video Distraction via Virtual Reality
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Yuzuncu Yil University
Medical Malpractice, Artificial Intelligence in Medicine
The Impact of AI-Assisted Diagnosis and Treatment on Physicians' Potential Legal Liability: An Expert Perspective
The goal of this randomized vignette-based experiment is to investigate how AI-related contextual factors influence expert assessment of physician negligence in AI-assisted diagnosis and treatment scenarios among experts in…
- Conditions
- Medical Malpractice, Artificial Intelligence in Medicine, Clinical Decision-Making
- Trial name
- NCT07869303
- Testing
- General AI With a Standard-of-Care Recommendation, General AI With a Non-Standard-of-Care Recommendation, Expert AI With a Standard-of-Care Recommendation
- Volunteers
- 440 people, healthy volunteers welcome
- Sponsor
- Xie Xiaoyun
Healthy, Artificial Intelligence (AI)
Large Linguistic Model for Clinical Reaoning of Physical Therapy Students
Clinical reasoning is a fundamental skill for physical therapy students, enabling them to collect and interpret patient information to make accurate diagnoses and treatment decisions.
- Trial name
- NCT06809634
- Testing
- Large Language Model, Conventional
- Where
- Spain
- Volunteers
- 36 people, healthy volunteers welcome
- Sponsor
- Neuron, Spain
Clinical Decision Support Systems, Diagnostic Reasoning
Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission
The goal of this clinical trial is to evaluate whether AI-assisted workflows improve physicians' admission diagnosis and management planning performance on standardized simulated inpatient cases, among practicing internal…
- Conditions
- Clinical Decision Support Systems, Diagnostic Reasoning, Artificial Intelligence (AI)
- Trial name
- NCT07760051
- Testing
- Agent-assisted workflow, LLM-assisted workflow, Traditional Workflow
- Where
- China
- Volunteers
- 180 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Medical Education, Generative Artificial Intelligence
Teaching Medical Students to Verify AI-Generated Citation Hallucinations
Generative artificial intelligence (GenAI) tools are increasingly used by medical students for literature searching, scientific writing, and research. However, AI-generated citations may contain errors.
- Trial name
- SARA (NCT07844746)
- Testing
- SARA Citation-Verification Training, Responsible GenAI Education Intervention Description
- Volunteers
- 320 people, healthy volunteers welcome
- Sponsor
- Quaid-e-Azam Medical College
Artificial Intelligence (AI) in Diagnosis, Decision Making
Training Diagnostic Specialists to Use Artificial Intelligence Safely: The DISCORD-Dx Study
This randomized study evaluated whether a structured reasoning strategy called DISCORD-Dx could help specialist doctors use artificial intelligence (AI) recommendations more safely during diagnostic decision-making.
- Trial name
- DISCORD-Dx (NCT07844889)
- Testing
- DISCORD-Dx Training, Conventional AI-Literacy Training
- Where
- Pakistan
- Volunteers
- 46 people, healthy volunteers welcome
- Sponsor
- Sara Reza
Artificial Intelligence (AI), Clinical Reasoning
Teaching Doctors in Training to Reason With Artificial Intelligence
The purpose of the TEACH-AI study is to assess whether a brief, structured workshop on artificial intelligence can improve the performance of medicine doctors in training (i.e.
- Conditions
- Artificial Intelligence (AI), Clinical Reasoning, Clinical Decision-making, Medical Education
- Trial name
- TEACH-AI (NCT07813754)
- Testing
- Workshop-First
- Where
- 4 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
Nursing Students, Artificial Intelligence (AI)
Effect of AI-Supported Case Analysis on Nursing Students
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills.
- Conditions
- Nursing Students, Artificial Intelligence (AI), Clinical Decision-Making in Nursing
- Trial name
- NCT07611383
- Testing
- AI-supported case, Control Group
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- Nevsehir Haci Bektas Veli University
Shared Decision Making, Health Literacy
Designing a Large Language Model Architecture for Shared Decision Making and Informed Intentions
This study investigates a novel, agentic Large Language Model (LLM) architecture designed to facilitate Shared Decision-Making (SDM) in healthcare.
- Conditions
- Shared Decision Making, Health Literacy, Patient Participation, Artificial Intelligence
- Trial name
- DEONCAI3-1 (NCT07827924)
- Testing
- Agentic LLM Chatbot, Usual Care LLM Chatbot, IQWiG Standard Brochure
- Volunteers
- 330 people, healthy volunteers welcome
- Sponsor
- Harding Center for Risk Literacy
AI (Artificial Intelligence), Case-based Learning
Artificial Intelligence Assisted Teaching of Structured Nursing Care According to ERAS Protocol
This study evaluates an AI-supported case-based educational approach for teaching nursing care of gynecologic oncology patients according to the Enhanced Recovery After Surgery (ERAS) protocol.
- Conditions
- AI (Artificial Intelligence), Case-based Learning, Nursing Students, ERAS
- Trial name
- NCT07183202
- Testing
- Case-based learning (CBL), case-based education
- Where
- Turkey (Türkiye)
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- Sakarya University
Lung Cancer, Tuberculosis (TB)
Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance With Follow-up Tests After Abnormal Chest X-ray Findings Interpret by Artificial Intelligent
The study titled "Effectiveness of Chat-based Mobile Application for Consultation (Zalo) in Improving Compliance with Follow-up Tests after Abnormal Chest X-ray Findings Interpreted by Artificial Intelligence" aims to evaluate…
- Conditions
- Lung Cancer, Tuberculosis (TB), Chat-based Mobile Application, Compliance Behavior
- Trial name
- NCT07234929
- Testing
- chat-based mobile application (Zalo)
- Where
- Vietnam
- Volunteers
- 2,692 people, healthy volunteers welcome
- Sponsor
- Gia Dinh People Hospital
Nursing, Artificial Intelligence (AI)
AI-Assisted Smart Interactive Healthcare Robot
To address workforce shortages and increasing workloads in nursing, technological solutions and AI-powered robots for ward navigation have been introduced. However, limitations remain in their application to clinical care.
- Conditions
- Nursing, Artificial Intelligence (AI), Deep Learning, Mechine Learning
- Trial name
- NCT06972043
- Testing
- Intervention Group
- Where
- Taiwan
- Volunteers
- 160 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Respiratory Therapy Techniques, Artificial Intelligence in Education
AI-Powered Virtual Human Simulation in Students
This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning…
- Conditions
- Respiratory Therapy Techniques, Artificial Intelligence in Education, Clinical Education
- Trial name
- NCT07805499
- Testing
- AI-based virtual human simulation training
- Where
- Taiwan
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Fu Jen Catholic University
Ophthalmology, Artificial Intelligence (AI)
Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may…
- Conditions
- Ophthalmology, Artificial Intelligence (AI), Hepatobiliary Diseases, Systemic Diseases
- Trial name
- NCT07581925
- Testing
- Systemic diseases such as Hepatobiliary Disorders
- Where
- China
- Volunteers
- 730 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Therapeutic Alliance, Empathy
AI Ambient Scribe in Psychiatry
The goal of this clinical trial is to learn if an artificial intelligence (AI) tool that listens to appointments and drafts clinical notes can help clinicians in psychiatric care.
- Conditions
- Therapeutic Alliance, Empathy, Documentation, Artificial Intelligence (AI)
- Trial name
- AASP (NCT07777224)
- Testing
- Artificial Intelligence Ambient Scribe
- Where
- 8 sites in Switzerland
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- Psychiatrie St. Gallen
AI (Artificial Intelligence), Large Language Model
OpenEvidence Safety and Comparative Efficacy of Four LLM's in Clinical Practice
OpenEvidence is an online tool that aggregates and synthesizes data from peer-reviewed medical studies, then producing a response to a user's questions using generative AI.
- Conditions
- AI (Artificial Intelligence), Large Language Model, Generative Artificial Intelligence
- Trial name
- NCT07199231
- Testing
- AI clinical reference tool
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Cambridge Health Alliance