Clinical trials: Artificial Intelligence in Education
Virtual Reality, Medical Education
An Automated Virtual Reality Intervention to Enhance Firearm Safety Counseling in Pediatrics
Clinicians will complete a screen-based automated virtual reality training intervention to learn how to counsel caregivers of pediatric patients on secure firearm storage.
- Conditions
- Virtual Reality, Medical Education, Motivational Interviewing, Gun Violence Prevention
- Trial name
- NCT07265141
- Testing
- An Automated Virtual Reality Intervention to Support Firearm Safety Counseling in Clinicians
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Children's Hospital Medical Center, Cincinnati
Frail Elderly Syndrome
A Machine Learning Algorithm to Predict Health Clinical Situations in Primary Healthcare for Frail Older Adults.
Introduction: We developed a machine learning algorithm to predict the risk of emergency hospitalization within the new 7 to 14 days with a good predictive performance (AUC=0.85).
- Trial name
- NCT06013709
- Testing
- PRESAE CARE
- Volunteers
- 1,478 people
- Sponsor
- Presage
Coronary Artery Disease, Ischemic Heart Disease
Volatilome and Single-Lead Electrocardiogram Optimize Ischemic Heart Disease Diagnosis Using Machine Learning Models
This is a prospective, case-control, single-center, observational, non-randomized study. It is designed to evaluate the diagnostic accuracy of functional tests involving physical exertion monitored via a 12-lead ECG, combined…
- Conditions
- Coronary Artery Disease, Ischemic Heart Disease, Chronic Coronary Disease, Angina Pectoris
- Trial name
- NCT06181799
- Testing
- Mass spectrometry using the PTR TOF-1000 (IONICON PTR-TOF-MS - Trace VOC Analyzer, Eduard-Bodem-Gasse 3, 6020 Innsbruck, Austria (Europe).
- Where
- Russia
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Anesthesia Education
The Effect of Video Education on Anesthesia Choice
This prospective single-group study aims to evaluate the effect of preoperative artificial intelligence-based video education on anxiety, anesthesia preference, satisfaction, and knowledge level in patients undergoing…
- Trial name
- NCT07246798
- Where
- Turkey (Türkiye)
- Volunteers
- 88 people, healthy volunteers welcome
- Sponsor
- Tokat Gaziosmanpasa University
Non-Small Cell Lung Cancer, Artificial Intelligence (AI) in Diagnosis
AI-Based Prediction of Stage and Survival in Non-Small Cell Lung Cancer: A Retrospective Study
This study aims to evaluate the role of artificial intelligence (AI) in predicting disease stage and survival in patients diagnosed with non-small cell lung cancer (NSCLC).
- Trial name
- NCT07068139
- Testing
- AI-Based Predictive Modeling
- Volunteers
- 156 people
- Sponsor
- Hilkat Fatih Elverdi
Liver Fibrosis
Prediction of Significant Liver Fibrosis
The deep learning method based on convolutional neural network (CNN) was used to extract the relevant features of liver fibrosis classification from the multi-modal information of digital pathological sections, clinical…
- Trial name
- PSLF (NCT06509230)
- Where
- China
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Huang Haijun
Pediatric ALL, Sepsis
Evaluation of Pediatric eCART Implementation
This is a study comparing 3 years of retrospective data (pre-implementation) to 2 years of prospective data after the implementation of a pediatric version of Electronic Cardiac Arrest Risk Triage (pediatric eCART), a clinical…
- Trial name
- NCT06771830
- Testing
- Pediatric eCART
- Where
- United States
- Volunteers
- 30,000 people
- Sponsor
- University of Wisconsin, Madison
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
Subjective Cognitive Decline, Alzheimer Disease
Using Artificial Intelligence to Detect Early Signs of Alzheimer's Disease in People With Memory Concerns
AHEAD is a prospective, longitudinal, risk-stratified single-arm interventional study enrolling 300 patients with Subjective Cognitive Decline (SCD) at IRCCS San Raffaele Hospital, Milan, Italy.
- Conditions
- Subjective Cognitive Decline, Alzheimer Disease, Mild Cognitive Impairment, Cognitive Decline
- Trial name
- AHEAD (NCT07652931)
- Testing
- High-frequency Transcranial Magnetic Stimulation (TMS), Digital Cognitive Training, Structured Physical Exercise
- Where
- Italy
- Volunteers
- 300 people
- Sponsor
- IRCCS San Raffaele
Diabetic Retinopathy, Diabetic Macular Edema (DME)
AI Prediction of Treatment Response in DME
Diabetic macular edema (DME) is a leading cause of vision loss among individuals with diabetes mellitus. Although intravitreal anti-vascular endothelial growth factor (anti-VEGF) therapy is the standard treatment for…
- Trial name
- NCT07707856
- Testing
- Artificial Intelligence-Based Imaging Analysis
- Where
- Egypt
- Volunteers
- 1,284 people
- Sponsor
- Benha University
Medical Education, Clinical Communication
Adaptive Real-Time Voice Virtual Patients for Clinical Communication Training
This study evaluated whether an emotionally and interactionally adaptive real-time voice virtual patient can improve clinical communication training for resident physicians.
- Conditions
- Medical Education, Clinical Communication, Breaking Bad News Skills
- Trial name
- RSTM-VP (NCT07615621)
- Testing
- Adaptive Real-Time Voice Virtual Patient Training, Non-Adaptive Real-Time Voice Virtual Patient Training, Standardized Patient Training
- Where
- China
- Volunteers
- 195 people, healthy volunteers welcome
- Sponsor
- Wang Shalong
Participants Must be Women Aged 25 Years or Older, Participants Should Have no Self-reported History of Heart Disease or Stroke
RCT of HeartBot in Women
The goal of this clinical trial is to find out whether an app-based program called HeartBot II, which uses an artificial intelligence (AI) chatbot, can help improve women's awareness and knowledge of heart attacks in women.
- Conditions
- Participants Must be Women Aged 25 Years or Older, Participants Should Have no Self-reported History of Heart Disease or Stroke, Participants Should Have no Terminal Illness or Diagnosed Cognitive Impairment, Including Alzheimer's Disease, Participants Should Not be a Healthcare Professionals or Healthcare Trainees
- Trial name
- HeartBot II (NCT07416734)
- Testing
- HeartBot II Program, Waitlist Control
- Where
- United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Cancer, Prostate Cancer
Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology
This prospective study will test artificial intelligence (AI) and machine learning (ML) decision support tools. This tool is designed to help doctors, physicists and other staff during pre-treatment peer review, a step where…
- Trial name
- NCT07463833
- Testing
- The Artificial Intelligence (AI)/ Machine Learning (ML) contribution to treatment planning
- Where
- United States
- Volunteers
- 207 people, healthy volunteers welcome
- Sponsor
- UNC Lineberger Comprehensive Cancer Center
Keratoconus, Keratoconus, Artificial Intelligence, Support Vector Machine
Predicting Manifest Astigmatism in Keratoconus Patients.
The cornea of the human eye has several functions. It is transparent to allow light into the eye and its shape focuses the incoming light onto the retina.
- Trial name
- NCT06798779
- Testing
- Glasses, Corneal topography
- Where
- United Kingdom
- Volunteers
- 800 people
- Sponsor
- Royal Devon and Exeter NHS Foundation Trust
Melanoma, Skin Cancer
AI Augmented Training for Skin Specialists
Background: The worldwide incidence of skin cancer has been rising for 50 years, in particular the incidence of malignant melanoma has increased approx. 2-7% annually and is the most common cancer amongst Danes aged 15-34.
- Trial name
- AISC-SS (NCT04758988)
- Testing
- DermLoop Learn
- Where
- 2 sites in Denmark
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- Herlev Hospital
DFNA9, Sensorineural Hearing Loss
Artificial Intelligence in Diagnosis of DFNA9
To study the positive predictive value of Audiogene v.4.0 open source online machine learning tool in accurately predicting DFNA9 (DeaFNess autosomal dominant ninth) as top 3 gene loci in a large series of genetically confirmed…
- Trial name
- DFNA9 (NCT04331015)
- Testing
- Pure tone audiometry
- Where
- 2 sites in Belgium
- Volunteers
- 111 people
- Sponsor
- Jessa Hospital
Cardiovascular Diseases, Coronary Artery Disease
AI-Powered Electrocardiography for Diagnosis and Prognostic Prediction in Cardiovascular Disease (AI-CVD): Multicenter Retrospective Study
This multicenter retrospective study aims to develop, validate, and clinically apply an artificial intelligence (AI)-powered electrocardiography (ECG) algorithm for the diagnosis and prognostic prediction of cardiovascular…
- Conditions
- Cardiovascular Diseases, Coronary Artery Disease, Heart Failure, Atrial Fibrillation (AF)
- Trial name
- AI-CVD (NCT07856472)
- Testing
- Retrospective ECG Data Analysis
- Where
- South Korea
- Volunteers
- 10,000 people
- Sponsor
- Inha University Hospital
Dental Prosthesis
Artificial Intelligence Designed Single Tooth Dental Prostheses
Tooth loss is common and as consequence deteriorate patient's health and quality-of-life. Dental prostheses aim to restore patients' appearance and functions by replacement of missing teeth.
- Trial name
- NCT05056948
- Testing
- artificial intelligence (AI) computer assisted design (CAD)
- Where
- Hong Kong
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Crohn's Disease
Artificial Intelligence-Based Classification and Prognostic Prediction in Small Bowel Crohn's Disease
This retrospective observational study aims to develop an artificial intelligence-based system for the precise classification and prognostic prediction of small bowel Crohn's disease.
- Trial name
- NCT07757217
- Testing
- Artificial Intelligence-Based Multimodal Analysis
- Where
- China
- Volunteers
- 437 people
- Sponsor
- Shanghai 10th People's Hospital
Slippery Pulse, Choppy Pulse
Visualization Engineering Platform for TCM Pulse Diagnosis - Pulse Diagnosis Based on Federated Learning to Diagnose Slippery and Choppy and Other Pulses Waveform Image Features to Assist in the Study of TCM Pathological Logic Analysis
The diagnoses processes of Traditional Chinese Medicine (TCM) focus on the following four main types of diagnoses methods consisting of inspection, olfaction, inquiry, and palpation.
- Trial name
- NCT05630248
- Testing
- Recurrent Neural Network
- Where
- Taiwan
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- China Medical University Hospital