Clinical trials: AI (Artificial Intelligence), open to volunteers
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
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
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
Mycosis Fungoides of Skin (Diagnosis), Artificial Intelligence (AI) in Diagnosis
AI in MF Diagnosis
The aim of this observational study is to evaluate the diagnostic performance of an AI algorithm in the histopathological diagnosis of MF compared to certified dermatopathologists.
- Trial name
- AI\MF (NCT07795242)
- Testing
- this study does not include any intervention
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Al-Azhar University
Preterm Birth, Artificial Intelligence (AI) in Diagnosis
Does AI Make Clinicians More Appropriately Confident? A Randomized Study in Preterm Birth Prediction
The goal of this randomized questionnaire-based study is to evaluate how different presentations of artificial intelligence (AI) decision support influence clinical judgment among medical doctors working in obstetrics and…
- Trial name
- NCT07402668
- Testing
- AI prediction (binary), AI risk estimate (%)
- Where
- 18 sites in Denmark
- Volunteers
- 125 people, healthy volunteers welcome
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Cephalometric Analysis, Cephalometry
Comparison of Digital Analysis and Artificial Intelligence for Cephalometric Tracing
This study aims to evaluate the accuracy and reliability of artificial intelligence (AI)-based cephalometric analysis compared with digital manual tracing.
- Conditions
- Cephalometric Analysis, Cephalometry, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis
- Trial name
- NCT07664488
- Testing
- Cephalometric Analysis
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- University of Pavia
Endodontic Retreatment, Non-surgical Retreatment
Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs
The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal…
- Conditions
- Endodontic Retreatment, Non-surgical Retreatment, Endodontics, AI (Artificial Intelligence)
- Trial name
- Ai Retreatment (NCT07611279)
- Testing
- Deep Learning Model to Predict Endodontic Retreatment Difficulty from Periapical Radiographs
- Volunteers
- 123 people
- Sponsor
- Cairo University
Artificial Intelligence (AI), Prolonged Grief Symptoms
AI-GF-GNW on Prolonged Grief Reactions
Prolonged Grief Disorder (PGD) is a severe, disabling condition characterized by intense yearning and difficulty accepting the reality of loss, which significantly impairs the academic and psychosocial functioning of bereaved…
- Conditions
- Artificial Intelligence (AI), Prolonged Grief Symptoms, Depression - Major Depressive Disorder, Anxiety
- Trial name
- NCT07589088
- Testing
- AI-Assisted Grief-Focused Guided Narrative Writing, No-Feedback Guided Narrative Writing, Free Writing
- Where
- China
- Volunteers
- 126 people, healthy volunteers welcome
- Sponsor
- Peking University
Radiology, Internship and Residency
Measuring AI Reliance Among Intern Doctors in Palestine
This study aims to enroll intern doctors and have them sit one of three identical radiology exams. The only difference between them is an AI-assistant.
- Conditions
- Radiology, Internship and Residency, AI (Artificial Intelligence)
- Trial name
- AI-RP (NCT07558746)
- Testing
- AI prompt (Correct), AI prompt (Incorrect)
- Where
- Palestinian Territories
- Volunteers
- 159 people, healthy volunteers welcome
- Sponsor
- Al-Quds University
Digestive Diseases, Radiology
AI-Driven Multimodal Imaging Integration for Diagnosis and Prognostication of Digestive System Diseases
The goal of this observational, retrospective and prospective study is to develop a noninvasive disease assessment system by leveraging artificial intelligence (AI) to comprehensively analyze multi-modal imaging features…
- Conditions
- Digestive Diseases, Radiology, AI (Artificial Intelligence), Imaging
- Trial name
- NCT07087418
- Testing
- Virtual endoscopy model-assisted diagnosis
- Where
- China
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Behavior Problem of Childhood and Adolescence, Parent Management Training
Behavioral Parent Training With and Without AI Support for Children With Disruptive Behaviors
The goal of this clinical trial is to learn if adding an artificial intelligence (AI) application called to standard Behavioral Parent Training (BPT) helps families with children who have disruptive behavior problems.
- Conditions
- Behavior Problem of Childhood and Adolescence, Parent Management Training, Artificial Intelligence (AI), Disruptive Behaviours
- Trial name
- NCT07469215
- Testing
- Behavioral Parent Training (BPT), Behavioral Parent Training (BPT) + Support of AI app
- Where
- Spain
- Volunteers
- 40 people
- Sponsor
- Fundació Sant Joan de Déu
Central Nervous System Disease, MRI
Validation on Clinical Adaptability of the Foundation Model Specific to Neuroimaging Diagnosis
This clinic trial aims to investigate whether artificial intelligence (AI) diagnostic tools at neurological diseases diagnosis on brain CT/MRI can improve the work efficiency of specialized neuroimaging physicians, with a…
- Conditions
- Central Nervous System Disease, MRI, CT, AI (Artificial Intelligence)
- Trial name
- NCT07471984
- Testing
- Foundation Model Specific to Neurological Diagnosis
- Where
- China
- Volunteers
- 50,000 people, healthy volunteers welcome
- Sponsor
- Yaou Liu
Nociception, Artificial Intelligence (AI)
AI-Assisted Analgesia Copilot System
The primary objective of the SEASCAPE project is to design, develop, and to apply a clinical implementation tool of a machine learning (ML) and artificial intelligence (AI)-based co-pilot system for the real-time monitoring and…
- Conditions
- Nociception, Artificial Intelligence (AI), Target Controlled Infusion (TCI), Remifentanil Consumption
- Trial name
- SEASCAPE (NCT07253012)
- Testing
- Hemodynamic monitor, BIS, TOF, ANI, anesthesia machine and infusion pumps, SEASCAPE
- Where
- 2 sites in Chile
- Volunteers
- 150 people
- Sponsor
- Pontificia Universidad Catolica de Chile
CNS Tumor, Artificial Intelligence (AI)
Self-administered Remote Neurological Examination Using Mobile Application in Patients With Brain Tumors
The goal of this observational study is to evaluate the feasibility and accuracy of a self-administered remote neurological examination using the "Iskhaa" mobile application in patients with brain tumors aged above 5 years who…
- Conditions
- CNS Tumor, Artificial Intelligence (AI), Glioma, Digital Health
- Trial name
- NEMO (NCT07236840)
- Testing
- Neurological assessment
- Where
- India
- Volunteers
- 600 people
- Sponsor
- Tata Memorial Centre
Cardiac, Surgery (Cardiac)
AI-Generated Video Feedback to Improve Technical Skills in Coronary Artery Bypass Grafting
This study aims to evaluate whether targeted video feedback generated by an artificial intelligence (AI)-based surgical performance assessment model can support improvement in technical skills among cardiac surgeons performing…
- Conditions
- Cardiac, Surgery (Cardiac), Education, Artificial Intelligence (AI)
- Trial name
- NCT07400172
- Testing
- AI-Guided Video Feedback Intervention
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
AI Chatbot, Nursing Education
The Effect of Artificial Intelligence-Supported Intramuscular and Subcutaneous Injection Training on Nursing Students
The complexity of healthcare services and technological advances today have necessitated the adoption of innovative approaches in nursing education.
- Conditions
- AI Chatbot, Nursing Education, AI (Artificial Intelligence), Nursing Skills
- Trial name
- NCT07253571
- Testing
- Training of IM and SC injection skills via Chatbot
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Akdeniz University
Primary Care, Artificial Intelligence (AI)
Improving the Accuracy of Artificial Intelligence Triage in Primary Care
WHY ARE WE DOING THIS? When patients contact their GP practice, the first step is to work out what kind of help they need and how quickly it's needed. This is called 'triage' and is important for patient safety.
- Trial name
- NCT07237919
- Testing
- AI triage, No AI triage
- Where
- United Kingdom
- Volunteers
- 226,821 people, healthy volunteers welcome
- Sponsor
- University of Manchester
Atrial Fibrillation (AF), Premature Atrial Complexes
Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development
Our study aimed to use an AF-predict AI-ECG alert system to help physicians identify patients who need to wear a continuous cardiac rhythm monitor for new diagnoses of atrial fibrillation (AF), atrial flutter (AFL), or atrial…
- Conditions
- Atrial Fibrillation (AF), Premature Atrial Complexes, Atrial Arrhythmias, Artificial Intelligence (AI)
- Trial name
- LATENT (NCT06847932)
- Testing
- AF-predict AI-ECG alert system guided management
- Where
- Taiwan
- Volunteers
- 14,726 people
- Sponsor
- National Defense Medical Center, Taiwan
Central Nervous System Disease, MRI
An Explainable Neuroradiologist Artificial Intelligence Assistance System for Brain CT and MRI
This clinic trial aims to validate the working performance of radiologists with or without artificial intelligence (AI) diagnostic tool at neurological diseases diagnosis on brain CT/MRI.
- Conditions
- Central Nervous System Disease, MRI, CT, AI (Artificial Intelligence)
- Trial name
- NCT07167043
- Testing
- AI-assisted diagnostic systems
- Where
- China
- Volunteers
- 30,000 people, healthy volunteers welcome
- Sponsor
- Yaou Liu