Clinical trials: Artificial Intelligence
Gastrointestinal Stromal Tumors, Gastric Subepithelial Tumors
Development of a Multimodal AI System for GIST Management
Background: Gastrointestinal Stromal Tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. Accurate pre-operative diagnosis, risk stratification, and genotyping are critical for determining the…
- Conditions
- Gastrointestinal Stromal Tumors, Gastric Subepithelial Tumors, Gastric Leiomyoma, Artificial Intelligence (AI)
- Trial name
- NCT07454967
- Testing
- Multimodal AI Analysis System
- Where
- 9 sites in China
- Volunteers
- 300 people
- Sponsor
- Qun Zhao
Colorectal Adenoma, Artificial Intelligence (AI)
Development and Demonstration of a Precision Prevention and Treatment System for Colorectal Tubular Adenomas Lesions
This study is a prospective,multi-center and observational clinical study.Investigators would like to innovatively construct a "trinity" database of colorectal tubular adenomas based on white light - magnifying chromo …
- Trial name
- NCT07073430
- Testing
- AI models with NBI
- Where
- China
- Volunteers
- 4,000 people
- Sponsor
- Renmin Hospital of Wuhan University
Artificial Intelligence, Endobronchial Ultrasound
Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence
To evaluate the usefulness of Deep neural network (DNN) in the evaluation of mediastinal and hilar lymph nodes with Endobronchial ultrasound (EBUS).
- Conditions
- Artificial Intelligence, Endobronchial Ultrasound, Lung Cancer
- Trial name
- NCT05739331
- Testing
- machine learning algorithm
- Where
- 2 sites in Norway
- Volunteers
- 50 people
- Sponsor
- Norwegian University of Science and Technology
Neoplasms, Clinical Documentation
Ambient AI Documentation in Oncology Consultations
This study tests whether an artificial intelligence (AI) system can help doctors write medical notes during cancer consultations.
- Conditions
- Neoplasms, Clinical Documentation, Artificial Intelligence in Medicine
- Trial name
- NVC-AI-DOC (NCT07850700)
- Testing
- Ambient AI documentation system
- Where
- Lithuania
- Volunteers
- 250 people
- Sponsor
- National Cancer Center Affiliate of Vilnius University Hospital Santaros Klinikos
Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application, Bowel Preparation for Colonoscopy
The Effectiveness of Bowel Preparation in Colonoscopy Patients Using Artificial Intelligence-assisted Nursing Education
Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality.
- Trial name
- NCT07791641
- Testing
- The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist, rountine care
- Where
- Taiwan
- Volunteers
- 140 people
- Sponsor
- Evian Lin
Colon Polyps, Colonoscopy
Impact of Artificial Intelligence on Trainee Polyp Miss Rates
Based on prior studies, trainee and practicing gastroenterologists miss pre-cancerous polyps (adenomas and serrated polyps) during colonoscopy.
- Conditions
- Colon Polyps, Colonoscopy, Artificial Intelligence (AI)
- Trial name
- NCT06676930
- Testing
- Colonoscopy With Computer-Aided Detection, Colonoscopy without Computer-Aided Detection
- Where
- United States
- Volunteers
- 180 people
- Sponsor
- Northwestern University
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
Digital Health, Artificial Intelligence (AI)
Trust in AI and Digitalization in Healthcare Across Generational Groups
This study aims to investigate differences in perception of barriers and facilitators of digitalization and Artificial Intelligence (AI) usage in healthcare across different generational groups (youth, working-age adults, and…
- Trial name
- TRUST-AI (NCT07265427)
- Where
- 2 sites in Germany
- Volunteers
- 188 people
- Sponsor
- Jacobs University Bremen gGmbH
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
Artificial Intelligence in Dental Crown Design, Tooth Crown Restoration
Clinical Evaluation of AI-Driven Designed Single Crowns
This clinical study compares tooth-supported single crowns designed by a dental technician and by an artificial intelligence (AI) driven automated design method.
- Conditions
- Artificial Intelligence in Dental Crown Design, Tooth Crown Restoration, Dental Restorations
- Trial name
- NCT07834957
- Testing
- Dental Technician Crown Design, AI-Driven Automated Crown Design
- Where
- Turkey (Türkiye)
- Volunteers
- 47 people
- Sponsor
- Hacettepe University
Artificial Intelligence
Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies
This is a pragmatic, double-blind, randomized, controlled trial, to evaluate the effect of implementing a Computer-assisted detection (CADe) system within the routine clinical practice of Canadian healthcare institutions.
- Trial name
- CAG-SIG-AI (NCT05244278)
- Testing
- Medtronic-GI genius (CADe system for detecting colorectal polyps)
- Where
- Canada
- Volunteers
- 1,596 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Artificial Intelligence
Using AI-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps
This is a prospective study that is the first to implement resect and discard and diagnose and leave strategies in real-time practice using stringent documentation and adjudication by 2 expert endoscopists as the gold standard.
- Trial name
- AI-OD (NCT06059378)
- Testing
- Artificial intelligence-assisted classification (CADx)
- Where
- Canada
- Volunteers
- 204 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Colonic Polyp, Artificial Intelligence
Autonomous Artificial Intelligence Versus AI Assisted Human Optical Diagnosis
Computer-aided image-enhanced endoscopy can predict the nature of colorectal polyps with over 90% accuracy. This technology uses artificial intelligence (AI) to analyze video recordings of polyps, learning to make diagnoses in…
- Trial name
- CADx-Prosp (NCT06543862)
- Testing
- CADx (AI) system
- Where
- Canada
- Volunteers
- 540 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
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
DSA, Bleeding
AI Assistance for Detecting Active Bleeding During DSA Procedures
Clinically, DSA-VDet can continuously indicate suspected bleeding regions throughout a complete angiographic sequence and provide a second-reader opinion to the operator.
- Conditions
- DSA, Bleeding, AI (Artificial Intelligence), Hemorrhage
- Trial name
- NCT07824739
- Testing
- DSA-VDet v1.0
- Where
- China
- Volunteers
- 1,324 people
- Sponsor
- Zhongda Hospital
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