Clinical trials: Artifical Intelligence
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Occupational Therapy
AI-Supported Occupational Therapy for Handwriting
Aim: This study investigates the impact of an AI-supported occupational therapy program, developed using the Model of Human Occupation (MOHO), on handwriting skills in children at risk for Developmental Coordination Disorder…
- Trial name
- NCT06871566
- Testing
- Artificial Intelligence-Supported Occupational Therapy Program
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people
- Sponsor
- Hacettepe University
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
Artifical Intelligence, Nursing Education
AI-SUPPORTED FLIPPED LEARNING IN BREAST SELF-EXAMINATION TRAINING
The global increase in cancer cases has made breast cancer the second most common cancer after lung cancer and a primary health problem among women.
- Conditions
- Artifical Intelligence, Nursing Education, Breast Self-Examination
- Trial name
- NCT07562321
- Testing
- Artificial Intelligence-Supported Flipped Learning Model-Based Breast Self-Examination Training
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Baskent University
Fertility, Mobile Applications
Smartphone vs Manual Interpretation of Biomarkers for Ovulation and Luteal Phase Detection (SMOM Study)
This study will compare different combinations of fertility signs (cervical mucus (CM), luteinizing hormone [LH], pregnanediol glucuronide [PDG], and basal body temperature [BBT]) to determine which are most reliable for…
- Conditions
- Fertility, Mobile Applications, Artifical Intelligence, Cervical Mucus
- Trial name
- SMOM (NCT07248046)
- Testing
- Premom App-Assisted Fertility Tracking
- Where
- Canada
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Bruyère Health Research Institute.
Congenital Heart Disease (CHD), Screening Tool
Efficacy Comparison Between Primary Care Physicians' Independent Auscultation and AI-assisted Auscultation for Congenital Heart Disease Screening in Patient-enriched Populations: A Randomized Controlled Trial
In recent years, the application of artificial intelligence (AI) in the healthcare domain has witnessed a significant surge, with deep learning emerging as a potent force in the medical field.
- Conditions
- Congenital Heart Disease (CHD), Screening Tool, Artifical Intelligence, Randomised Controlled Trial
- Trial name
- NCT06791096
- Testing
- AI-assisted auscultation, Independent auscultation
- Where
- 2 sites in China
- Volunteers
- 212 people, healthy volunteers welcome
- Sponsor
- Kun Sun
Autoimmune / Connective Tissue Diseases, Anti-Nuclear Antibody
Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test
The objective of this prospective observational study is to rigorously examine the feasibility and efficacy of utilizing latent diffusion models for data augmentation in anti-nuclear antibody (ANA) Hep-2 cell immunofluorescence…
- Conditions
- Autoimmune / Connective Tissue Diseases, Anti-Nuclear Antibody, Visual Turing Tests, Artifical Intelligence
- Trial name
- NCT06542783
- Testing
- referring to the results of AI model output
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Accessory Pathway, Artifical Intelligence
AI-ECG Accessory Pathway Localisation Study
This study seeks to validate the real-world accuracy of an AI-based algorithm for identifying the location of an accessory pathway from the 12-lead electrocardiogram
- Conditions
- Accessory Pathway, Artifical Intelligence, ECG
- Trial name
- AAPLS (NCT07083791)
- Where
- United Kingdom
- Volunteers
- 100 people
- Sponsor
- Imperial College London
Congenital Heart Disease (CHD), Artifical Intelligence
AI-Assisted Versus Independent Heart Sound Screening for Congenital Heart Disease in Children
This is a prospective, school-based, cluster-randomized controlled trial conducted in Qinghai Province, China. The study will evaluate whether artificial intelligence (AI) can help primary care physicians identify congenital…
- Conditions
- Congenital Heart Disease (CHD), Artifical Intelligence, Screening, Cardiac Auscultation
- Trial name
- NCT07830251
- Testing
- AI-Assisted Cardiac Auscultation
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Kun Sun
Registration Accuracy
Assessment of the Artifical Intelligence Assisted Registration Versus Conventional Point Based Registration on Cone Beam-computed Tomography (CBCT) With Heavy Metal Artifacts
Our study investigates the accuracy and duration needed for 3D model registration using artifical intelligence (AI) assistance compared to conventional point-based registration.
- Trial name
- NCT06273332
- Testing
- AI-assisted registration, Point-based registration
- Where
- Egypt
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- Ain Shams University
Keratoconus, Refractive Surgery
AI-Orchestrated Workflow Versus Consultant Ophthalmologist for Refractive Surgery and Keratoconus Diagnosis (AEYE Trial)
Background and Rationale: Laser vision correction procedures, such as LASIK (Laser-Assisted In Situ Keratomileusis), PRK (Photorefractive Keratectomy), and SMILE (Small Incision Lenticule Extraction), are highly effective but…
- Conditions
- Keratoconus, Refractive Surgery, Machine Learning, Artifical Intelligence
- Trial name
- AEYE (NCT07096232)
- Testing
- Multi-Agent AI Diagnostic Workflow (AEYE)
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Hazem Yassin Clinics
Seborrheic Keratoses, Artifical Intelligence
AI in SK Histopathological Diagnosis
The aim of this study is to evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm in the histopathological diagnosis of Seborrheic keratosis compared to Certified Dermatopathologists.
- Trial name
- AI\SK (NCT07787481)
- Testing
- This study doesn't include an intervention.
- Where
- Egypt
- Volunteers
- 30 people
- Sponsor
- Al-Azhar University
Artifical Intelligence, Generative Artificial Intelligence
AI-Driven Video Avatars vs. Customized GPTs: Professional English Learning Among Nursing Students
The goal of this study is to evaluate and compare the effectiveness of two generative artificial intelligence technologies (an interactive AI video avatar vs.
- Conditions
- Artifical Intelligence, Generative Artificial Intelligence, Education, Nursing Students
- Trial name
- NCT07897422
- Testing
- Interactive AI Video Avatar, Personalized GPT Interface
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Manisa Celal Bayar University
Dental Caries (Diagnosis), Artifical Intelligence
Accuracy Of Detection Of Dental Caries From Intraoral Images Using Different ArtificiaI Intelligence Models
The goal of this observational study is to evaluate the diagnostic accuracy of different deep learning models in detecting dental caries from intra oral images taken by a professional intra oral camera in children.
- Conditions
- Dental Caries (Diagnosis), Artifical Intelligence, Intraoral Images
- Trial name
- NCT06749743
- Testing
- FASTER RCNN
- Where
- Egypt
- Volunteers
- 398 people
- Sponsor
- Cairo University