Clinical trials: Artificial Intelligence Technology
Physiology Education, Simulation-Based Learning
AI-Assisted Adaptive Simulation in Physiology Education
This randomized controlled trial evaluated whether an AI-assisted, rule-based adaptive screen-based simulation module could improve physiology learning outcomes among undergraduate health science students compared with…
- Conditions
- Physiology Education, Simulation-Based Learning, v, Artificial Intelligence in Education
- Trial name
- PBL (NCT07608315)
- Testing
- AI-Assisted Algorithm-Supported Adaptive Simulation, Conventional Physiology Instruction
- Where
- India
- Volunteers
- 672 people, healthy volunteers welcome
- Sponsor
- Saveetha University
Contouring, Segmentation
Locally Optimised Contouring With AI Technology for Radiotherapy
LOCATOR is a multicentre phase II randomised clinical trial that is looking at the process of contouring in radiation treatment for breast cancer patients.
- Conditions
- Contouring, Segmentation, Radiation Therapy, Artificial Intelligence
- Trial name
- LOCATOR (NCT06546592)
- Testing
- AI assisted contouring
- Where
- 3 sites in Australia
- Volunteers
- 444 people, healthy volunteers welcome
- Sponsor
- Royal North Shore Hospital
Presence of Missed Canals, Morphological Variation
Artificial Intelligence to Detect Missed Root Canals in Previously Treated Lower Back Teeth Using 3D Dental Imaging (CBCT)
Aims to detect the Accuracy of Artificial Intelligence Technology in Detecting the Presence of Missed Canals of Endodontically Treated Mandibular Second Molar.
- Trial name
- cone beam CT (NCT07077694)
- Testing
- Root Canal Retreatment
- Where
- Egypt
- Volunteers
- 3 people, healthy volunteers welcome
- Sponsor
- Future University in Egypt
Cardiac
Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound
The aim of the study is to evaluate the effectiveness of artificial intelligence (A.I.) cardiac ultrasound technology in teaching point of care cardiac ultrasound (POCUS Cardiac).
- Trial name
- NCT05297877
- Testing
- Experimental AI Echo Machine, Conventional Echo Machine
- Where
- Singapore
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- National University of Singapore
Artificial Intelligence, Deep Learning
Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment
To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features…
- Conditions
- Artificial Intelligence, Deep Learning, Lung Cancer, Lung; Node
- Trial name
- NCT05426135
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Dental Caries
Assessment of Digital Technologies for Detection of Dental Caries
This study aims to evaluate and compare different digital diagnostic technologies used for the detection of dental caries in clinical practice.
- Trial name
- NCT07560514
- Testing
- Diagnostic methods for dental caries
- Where
- Slovakia
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University Hospital, Martin
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
Detecting Number of Root Canal of Human Mandibular Second Molar
Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study
to detect the Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study.
- Trial name
- AI (NCT07319221)
- Testing
- AI, CBCT
- Where
- Egypt
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Future University in Egypt
Artificial Intelligence, Deep Learning
Development of an Artificial Intelligence System for Intelligent Pathological Diagnosis and Therapeutic Effect Prediction Based on Multimodal Data Fusion of Common Tumors and Major Infectious Diseases in the Respiratory System Using Deep Learning Technology.
To improve accurate diagnosis and treatment of common malignant tumors and major infectious diseases in the respiratory system, we aim to establish a large medical database that includes standardized and structured clinical…
- Conditions
- Artificial Intelligence, Deep Learning, Pathology, Molecular, Medical Informatics
- Trial name
- NCT05046366
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Feasibility Studies, Physical Activity
AI-Based Personalized Exercise Prescription Through Mobile Health on Physical Activity and Health Outcomes in Older Adults: A Feasibility Study
The purpose of this research is to investigate the feasibility, acceptability, appropriateness, and preliminary efficacy of a wearable and artificial intelligence-driven mobile application-based exercise prescription grounded in…
- Conditions
- Feasibility Studies, Physical Activity, Mental Health (Depression), Anxiety
- Trial name
- NCT07768670
- Testing
- Fitness app powered by AI and wearable device
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- The University of Tennessee, Knoxville
Mental Health Diagnosis
Artificial Intelligence for Mental Health Diagnoses and Treatment Plans: A Protocol for Actors and Patients
Artificial intelligence (AI) is becoming prevalent in modern medicine and psychiatry. AI is based on a wide variety of computer algorithms classified under machine learning (ML).
- Trial name
- NCT06417827
- Testing
- SP patients-actors, Patients, Control group- patients
- Where
- Israel
- Volunteers
- 220 people, healthy volunteers welcome
- Sponsor
- Sheba Medical Center
Cervical Spine Myelopathy
Motor Function Assessment System Based on Video Tracking and Artificial Intelligence Technique
The goal of this clinical trial is to develop a motion recognition system based on video tracking technology and combine it with artificial intelligence technology to form a motion recognition and function evaluation system in in…
- Trial name
- NCT06242054
- Testing
- Motor Function Assessment System
- Where
- China
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Peking University Third Hospital
Missed Canals
Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canals in Human Mandibular First Molars Obturated and Indicated for Retreatment: Diagnostic Accuracy Experimental Study
evaluate the accuracy of new AI technology for detecting root canals in mandibular first molars retreatment cases in comparison to dentist clinical access cavity and CBCT imaging.
- Trial name
- NCT06325163
- Testing
- CBCT, clinical examination under dental operating microscope, canal detection AI software (diagnocat)
- Where
- Egypt
- Volunteers
- 35 people, healthy volunteers welcome
- Sponsor
- Misr International University
Gastric Cancer
Study on the Effectiveness of Gastroscope Operation Quality Control Based on Artificial Intelligence Technology
This study aims to construct a real-time quality monitoring system based on artificial intelligence technology.
- Trial name
- NCT04384575
- Testing
- blind spots
- Where
- China
- Volunteers
- 1,570 people, healthy volunteers welcome
- Sponsor
- Peking University
Breast Cancer Prevention
MELIORA Data Collection Campaigns
To support the development of the MELIORA digital app for the MELIORA main intervention, an initial pilot study (Data Collection Campaign, DCC) is being conducted with the three target participant groups: healthy women at…
- Trial name
- DCC (NCT07190066)
- Testing
- Data Collection campaign
- Where
- 7 sites in Greece, Lithuania and 2 more
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Harokopio University
Deep Learning,Lumbar Magnetic Resonance Imaging
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
To study the comparative analysis of artificial intelligence deep learning technology in the image quality of under-artificial intelligence (AI) reconstruction images and the original acquisition images of magnetic resonance…
- Trial name
- NCT06037057
- Testing
- no intervention name
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- RenJi Hospital
Heart Diseases
Health Electronic Assessment of Risks and Trends Using Biometric Equipment and Technology
This is a phase 0, non-interventional, longitudinal, electronic data capture (EDC) study to facilitate the HEARTBEAT Study project has set out to explore the potential use of smartwatches in collecting and analyzing biometric…
- Trial name
- HEARTBEAT (NCT06753045)
- Testing
- Smartwatch
- Where
- 3 sites in United States
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- Tulane University
To Validate the Clinical Performance of AI/ML Technologies in First-trimester Pregnant Participants, First Trimester Pregnancy
Clinical Performance Evaluation of the Artificial Intelligence (AI)/ Machine Learning (ML) Technologies Utilized by the Origin Medical EXAM ASSISTANT
A multicenter study will be conducted to assess the role of the AI/ML technologies of Origin Medical EXAM ASSISTANT (OMEA) in interpreting first-trimester fetal ultrasound examinations (11 weeks 0 days - 13 weeks 6 days).
- Trial name
- NCT06952439
- Testing
- Images and cines captured through the capture card (ICC)
- Where
- 15 sites in United States
- Volunteers
- 551 people, healthy volunteers welcome
- Sponsor
- Origin Medical Systems, Inc.
Colonoscopy
Artificial-intelligence-based Reporting Technology for Endoscopy Monitoring and Imaging System
Properly documenting withdrawal time in colonoscopy is essential for quality assessment and cost allocation. However, reporting withdrawal time has significant interobserver variability.
- Trial name
- ARTEMIS (NCT06094270)
- Testing
- EndoMind
- Where
- Germany
- Volunteers
- 147 people, healthy volunteers welcome
- Sponsor
- Wuerzburg University Hospital
User Experience With Virtual Assistants in Service Settings
Effects of Virtual Assistant Features on User Experience in Service Settings
This study examines how the characteristics and performance of virtual assistants influence user experience in service settings.
- Trial name
- AVir4Services (NCT07666295)
- Testing
- High Anthropomorphism, Low Anthropomorphism, Accurate Virtual Assistant Response
- Where
- Spain
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- University of Malaga