Clinical trials: Artificial Intelligence (AI)
Artificial Intelligence (AI) in Diagnosis
AI Telemedicine Support for Primary Care Physicians in El Salvador
The goal of this clinical trial is to learn whether access to an artificial intelligence (AI) clinical decision support assistant can improve diagnostic accuracy during real-world telemedicine consultations among primary care…
- Trial name
- NCT07406919
- Testing
- DoctorSV AI Assistant, Standard Telemedicine Workflow (No AI)
- Where
- El Salvador
- Volunteers
- 152 people
- Sponsor
- Hospital El Salvador
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
History Taking, Artificial Intelligence (AI)
Safety, Feasibility, and Acceptability of the MINERVA Voice Conversational Agent for Emergency Department History-Taking
This study evaluates whether an artificial intelligence (AI) conversational agent called MINERVA (Medical Interface for Navigating the Emergency Room with Voice Assistance) can safely and feasibly gather medical histories from…
- Trial name
- MINERVA-HX (NCT07877883)
- Testing
- MINERVA AI Chatbot
- Where
- United States
- Volunteers
- 250 people
- Sponsor
- Beth Israel Deaconess Medical Center
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
Uterine Fibroid, Uterine Sarcoma
Radiomics-Based Non-Invasive MRI Differentiation of Uterine Sarcomas and Fibroids
This retrospective case-control study aims to develop and validate a diagnostic model based on multimodal big data and artificial intelligence to differentiate uterine leiomyoma from uterine sarcoma.
- Conditions
- Uterine Fibroid, Uterine Sarcoma, Diagnose Disease, AI (Artificial Intelligence)
- Trial name
- NCT07129005
- Testing
- No intervention (observational study)
- Where
- China
- Volunteers
- 520 people
- Sponsor
- Tongji Hospital
Uterine Fibroid, Uterine Sarcoma
A Prospective Validation Study of Radiomics in the Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma
In our previous study, based on the multi-center clinical big data collected from January 2012 to January 2025, we have completed the construction of a multimodal early warning model for the malignant transformation of uterine…
- Conditions
- Uterine Fibroid, Uterine Sarcoma, AI (Artificial Intelligence), Radiomic
- Trial name
- NCT07269535
- Testing
- No intervention (observational study)
- Volunteers
- 500 people
- Sponsor
- Tongji Hospital
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
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
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
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
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
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
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
Artificial Intelligence (AI)
Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
Behavioral health problems, such as depression and anxiety, are common yet often are not identified by emergency department doctors and nurses.
- Trial name
- NCT06473558
- Testing
- Biometrics (or AI Biomaker)
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- University Hospitals Cleveland Medical Center