Clinical trials: AI (Artificial Intelligence)
Metabolic Disease
AI Models for Non-invasive Glycaemic Event Detection Using ECG in Type 1 Diabetics
This observational study aims to recruit up to thirty T1DM patients from a diabetic outpatient clinic at the University Hospital Coventry and Warwickshire for a two-phase study.
- Trial name
- NCT05461144
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- University Hospitals Coventry and Warwickshire NHS Trust
AI (Artificial Intelligence)
Knowledge, Perception, Usage And Concerns Of Artificial Intelligence Applications In Periodontology
Statement of problem: knowledge gap about knowledge, perception ,usage and concerns of artificial intelligence applications in periodontology among periodontists.
- Trial name
- NCT06951152
- Where
- Egypt
- Volunteers
- 275 people, healthy volunteers welcome
- Sponsor
- Ain Shams University
Artificial Intelligence, Healthcare Professionals
AI Readiness in Orthotics-Prosthetics
The aim of this study is to analyze, using a mixed-methods approach, the attitudes, perceptions, levels of technology acceptance, and competencies in the use of generative artificial intelligence among healthcare professionals…
- Conditions
- Artificial Intelligence, Healthcare Professionals, Orthotics and Prosthetics, Attitude
- Trial name
- NCT07547293
- Where
- Turkey (Türkiye)
- Volunteers
- 176 people, healthy volunteers welcome
- Sponsor
- gizem boztas
Pneumonia, Viral, COVID-19 Pneumonia
AI-based System for Assessing Suspected Viral Pneumonia Related Lung Changes
The AI-based system designed to process chest computed tomography (CT) aims to 1) detect the presence of pathologic patterns associated with interstitial changes in pneumonia; 2) highlight areas on the images with the probable…
- Trial name
- NCT06501599
- Testing
- Medical software (AI-based system)
- Where
- Russia
- Volunteers
- 563 people, healthy volunteers welcome
- Sponsor
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department
Gynecological Examination, Artificial Intelligence (AI)
The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction
Gynecological cancers, particularly cervical, ovarian, and endometrial cancers, pose a global problem. Cervical cancers are quite common worldwide, and this rate is even higher in developing countries.
- Conditions
- Gynecological Examination, Artificial Intelligence (AI), Patient Satisfaction, Anxiety
- Trial name
- NCT07599358
- Testing
- AI-assisted education
- Volunteers
- 114 people, healthy volunteers welcome
- Sponsor
- Fenerbahce University
AI Companionship
How Do Artificially Intelligent Companions Influence Psychological Outcomes?
This randomized longitudinal study examines how interacting with an artificially intelligent (AI) companion affects psychological well-being, social experiences, and interpersonal attitudes and behaviors over time.
- Trial name
- NCT07858279
- Testing
- AI Companion Interaction
- Where
- United States
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- University of Michigan
Root Canal
AI-Based Root Canal Length, Curvature, and Morphology Assessment Using CBCT
The primary aim of this study is to develop, evaluate, and validate a deep learning-based software system capable of generating automated, comprehensive clinical reports that detect, segment, and quantify root canal curvature…
- Trial name
- NCT07843992
- Testing
- AI-Based Deep Learning System for Root Canal Assessment
- Volunteers
- 155 people, healthy volunteers welcome
- Sponsor
- Cairo University
Medical Student
AI-Assisted Learning in Medicine
This multi-center retrospective cohort study investigates the real-world impact of integrating MetaGP-Edu, a proprietary AI tool fine-tuned for medical education, into the undergraduate Internal Medicine curriculum.
- Trial name
- NCT06945159
- Where
- 2 sites in China
- Volunteers
- 1,632 people, healthy volunteers welcome
- Sponsor
- Kang Zhang
Artificial Intelligence (AI), Empathy
AI-Supported Empathy Mapping to Enhance Communication and Grit in Pediatric Nursing Students
The nurse-patient communication environment in pediatric care is characterized by high uncertainty and complexity. Due to children's limited language development and emotional regulation abilities, coupled with parents' high…
- Conditions
- Artificial Intelligence (AI), Empathy, Scaffolding, Pediatric Nursing
- Trial name
- NCT07370285
- Testing
- AI-Supported Empathy-Map Scaffolding Model
- Volunteers
- 66 people, healthy volunteers welcome
- Sponsor
- Mackay Memorial Hospital
COVID-19, COVID-19 Respiratory Infection
AI Evaluation of COVID-19 Sounds (AI-EChOS)
In this study the investigators record sounds of voice, breaths and cough of subjects who tested positive for COVID19. The investigators then feed these sounds into an artificial intelligence and see if it can learn to recognise…
- Conditions
- COVID-19, COVID-19 Respiratory Infection, Cough, Breathing Sound
- Trial name
- AI-EChOS (NCT05115097)
- Where
- Italy
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- IRCCS San Raffaele
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
Postpartum Perineal Pain
AI-Supported Video Education in Episiotomy Care
Although the postpartum period is generally considered a positive experience, obstetric interventions such as episiotomy may lead to significant maternal health problems.
- Trial name
- NCT07453979
- Testing
- Control, AI-Assisted Episiotomy Care Video Group
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Burdur Mehmet Akif Ersoy University
Fracture, Bone Fracture
AI Assisted Detection of Fractures on X-Rays (FRACT-AI)
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838).
- Conditions
- Fracture, Bone Fracture, Dislocation, Fracture Multiple
- Trial name
- FRACT-AI (NCT06130397)
- Testing
- Cases reading, Ground truthing
- Where
- United Kingdom
- Volunteers
- 21 people, healthy volunteers welcome
- Sponsor
- Oxford University Hospitals NHS Trust
Burnout, Sleep Disturbance
Non-Invasive Sleep Monitoring for Burnout and Retention Risk in Postgraduate Nurses
Newly graduated nurses often experience high levels of psychological stress, sleep disturbance, fatigue, and burnout during the early transition into clinical practice.
- Conditions
- Burnout, Sleep Disturbance, Occupational Stress, Mental Health
- Trial name
- NCT07666633
- Testing
- Non-Invasive Sleep Monitoring
- Where
- Taiwan
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Kaohsiung Armed Forces General Hospital
Sepsis
Impact and Safety of AI in Decision Making in the ICU: a Simulation Experiment
The impact of deploying artificial intelligence (AI) in healthcare settings in unclear, in particular with regards to how it will influence human decision makers.
- Trial name
- ICU (NCT05495438)
- Testing
- Hypothetical AI
- Where
- United Kingdom
- Volunteers
- 38 people, healthy volunteers welcome
- Sponsor
- Imperial College London
Fetal Growth Retardation, Fetal Macrosomia
A Comparative Study of AI Methods for Fetal Diagnostic Accuracy in Ultrasound
This study serves as a supplemental investigation to the randomized controlled SCAN-AID study (NCT0632187). This study will evaluate and compare the fetal growth estimation outcomes of AI-supported groups, expert sonographers…
- Conditions
- Fetal Growth Retardation, Fetal Macrosomia, Fetal Growth
- Trial name
- NCT06268392
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Copenhagen Academy for Medical Education and Simulation
Intensive Care Unit-acquired Weakness, Artifical Intelligence
AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness
The aim of this observational case-control study is to investigate, whether artificial intelligence can detect ultrasound-derived imaging characteristics typical for intensive care unit-acquired weakness.
- Conditions
- Intensive Care Unit-acquired Weakness, Artifical Intelligence, Ultrasound
- Trial name
- ACTIVATE (NCT06765551)
- Testing
- Neuromuscular Ultrasound
- Where
- Germany
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- Jena University Hospital
Intracranial Aneurysm, CT Angiography
Stepped-Wedge Cluster Randomized Trial of AI-Assisted CTA Detection for Intracranial Aneurysms in Regional Hospitals
This study (IDEAL 2) is a nationwide stepped-wedge cluster-randomized trial designed to prospectively enroll over 14,400 patients undergoing outpatient head CT angiography (CTA).
- Conditions
- Intracranial Aneurysm, CT Angiography, AI (Artificial Intelligence), Cluster Randomized Trial
- Trial name
- IDEAL2 (NCT07124624)
- Testing
- AI-Assisted CTA Interpretation, Standard CTA Interpretation
- Volunteers
- 14,400 people, healthy volunteers welcome
- Sponsor
- Jinling Hospital, China
Melanoma (Skin Cancer), Artificial Intelligence (AI)
Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
The goal of this study is to develop supportive diagnostic artificial intelligence algorithms to distinguish melanoma from nevi or other benign pigmented skin lesions, especially in younger patients (below the age of 30).
- Conditions
- Melanoma (Skin Cancer), Artificial Intelligence (AI), Pediatric Cancer
- Trial name
- AI-MEL (NCT06621810)
- Where
- 3 sites in Germany, Italy and 1 more
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- German Cancer Research Center
Medical Education, Artificial Intelligence in Medicine
An AI Educational Agent for Medical Machine Learning Courses
The goal of this interventional study is to evaluate the effectiveness of a Large Language Model (LLM)-based educational AI Agent in graduate students (Masters and PhD) specializing in medicine or nursing who are enrolled in the…
- Trial name
- NCT07449182
- Testing
- KGRAG-based AI Educational Agent System
- Where
- China
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University