Clinical trials: Intelligence
Developmental Dysplasia of Hip
Using Artificial Intelligence to Screen for Hip Dysplasia
The goal of this clinical trial is to learn if an ultrasound scan using artificial intelligence can accurately screen for hip dysplasia.
- Trial name
- NCT06647225
- Testing
- Artificial intelligence augmented ultrasound
- Where
- Australia
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- Murdoch Childrens Research Institute
Epilepsy, Migraine
Clinical Applications of High-Frequency Oscillations
The objective of this study is to utilize high-frequency brain signals (HFBS) to localize functional brain areas and characterize HFBS in epilepsy, migraine, and other brain disorders.
- Conditions
- Epilepsy, Migraine, Headache, Pain
- Trial name
- HFOs (NCT00600717)
- Where
- United States
- Volunteers
- healthy volunteers welcome
- Sponsor
- Children's Hospital Medical Center, Cincinnati
Glaucoma Eye
Artificial Intelligence-assisted Glaucoma Screening (AIAGS)
This study will develop an artificial intelligence (AI) program for the screening of glaucoma.
- Trial name
- NCT03682783
- Testing
- Fundus Image
- Where
- China
- Volunteers
- 8,000 people, healthy volunteers welcome
- Sponsor
- Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
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
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
Bifid Mandibular Canal
Accuracy of AI in Detecting Bifid Mandibular Canal on CBCT: A Diagnostic Accuracy Study
The goal of this observational study is to evaluate how accurately a deep learning-based artificial intelligence (AI) model can detect and segment bifid mandibular canals (BMCs) on cone-beam computed tomography (CBCT) scans in…
- Trial name
- BMC-AI (NCT07114484)
- Where
- Egypt
- Volunteers
- 117 people
- Sponsor
- Sara Reda Abdelhamid Aboseif
Dental Plaque
Comparative Accuracy of AI Models and Clinical Assessment for Dental Plaque Detection in Children
This diagnostic accuracy study aims to evaluate the effectiveness of various artificial intelligence models in detecting dental plaque from intraoral images compared to clinical assessments performed by dentists among children.
- Trial name
- NCT06760104
- Testing
- Dental Plaque Detection Using AI Models
- Where
- Egypt
- Volunteers
- 323 people
- Sponsor
- Naema Ahmed
Glioma, Solid Tumor
Tumor Vaccines for Solid Tumors
Glioma is the most common primary malignant intracranial tumor, characterized by limited clinical treatment options and extremely poor prognosis.
- Trial name
- NCT06102837
- Testing
- tumor vaccine, Radiotherapy, Chemotherapy
- Where
- China
- Volunteers
- 340 people
- Sponsor
- Huashan Hospital
Cataract, Postoperative Complications
Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients
Cataract surgery is the current standard of management for cataract patients, which is typically succeeded by a postoperative follow-up schedule.
- Conditions
- Cataract, Postoperative Complications, Artificial Intelligence
- Trial name
- NCT04138771
- Testing
- An artificial intelligence system for postoperative management of cataract patients
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Sun Yat-sen University
Anesthesia Complication, Surgery-Complications
Machine Learning Models for Predicting Unforeseen Hospital Admissions or Discharges After Anesthesia
Unexpected hospital admissions after ambulatory surgery not only bring discomfort to patients but also causes a decrease in the efficiency of the healthcare system.
- Conditions
- Anesthesia Complication, Surgery-Complications, Pain, Postoperative
- Trial name
- NCT06582407
- Testing
- Mathematical Prediction of unforseen patient reorientation
- Where
- Belgium
- Volunteers
- 68,683 people
- Sponsor
- HUmani
Artificial Intelligence, Preoperative Evaluation
The Success of ChatGPT in Providing American Society of Anesthesiologist (ASA) Scores
Patients applied to the anesthesia clinics of Health Science University Istanbul Kanuni Sultan Suleyman Training and Research Hospital and Basaksehir Cam and Sakura City Hospital were included in the study.
- Trial name
- ASA (NCT06321445)
- Testing
- providing ASA score
- Where
- Turkey (Türkiye)
- Volunteers
- 2,851 people, healthy volunteers welcome
- Sponsor
- Kanuni Sultan Suleyman Training and Research Hospital
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
type1diabetes, Pediatrics
AI for Glycemic Events Detection Via ECG in a Pediatric Population
Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control and incorrect Insulin administration.
- Trial name
- NCT05278143
- Where
- Italy
- Volunteers
- 64 people
- Sponsor
- Bambino Gesù Hospital and Research Institute
Coronary Artery Disease
Efficiency of AI Reporting (EAIR).
While there are features on a CCTA that are correlated with plaque vulnerability and can be reported on, this is not always done.
- Trial name
- EAIR (NCT05583968)
- Where
- United Kingdom
- Sponsor
- London North West Healthcare NHS Trust
Child Development
The MOM Program: 5 Year Follow-up Study of a Home Visiting Program at The Children's Hospital of Philadelphia
The purpose of the MOM Program Continuation is to promote child development by helping families become more competent in accessing and using available health, developmental and educational resources.
- Trial name
- MOM Program (NCT00231179)
- Testing
- Home visiting professional support model, Control
- Where
- United States
- Volunteers
- 302 people, healthy volunteers welcome
- Sponsor
- Children's Hospital of Philadelphia
Dementia
AI4HOPE Pilot Study 2 Digital Dementia Care Planning
This pilot study will test a digital care planning decision support system for patients with dementia.
- Trial name
- AI4HOPE2 (NCT06292143)
- Testing
- Advance Care Planning Toolkit
- Volunteers
- 150 people
- Sponsor
- University of Bonn
Artificial Intelligence, Triage
Safety and Reliability of Artificial Intelligence Driven Symptom Assessment in Children and Adolescentes
Digital health technologies (DHT) are increasingly developed to support healthcare systems around the world. However, they are frequently lacking evidence-based medicine and medical validation.
- Trial name
- NCT04661488
- Testing
- AI driven triage-system
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Turku University Hospital
Skin Condition, Dermatology
Application of the Belle.AI Dermatological Image Reference System for Patient Diagnosis in an Active Clinical Setting
The goal of this research study is to test a new, investigational tool that uses artificial intelligence (AI) to help primary care providers assess skin conditions.
- Conditions
- Skin Condition, Dermatology, Dermatology/Skin - Other
- Trial name
- NCT06724627
- Testing
- Dermatology/Skin - Other
- Where
- United States
- Volunteers
- 263 people
- Sponsor
- BelleTorus Corporation
Dental Anxiety in Children, Behavior Management
AI-Generated Personalized Story Book to Improve Patient Behaviour
Dental anxiety and uncooperative behavior frequently interfere with the successful delivery of dental treatment in children and may increase the need for pharmacological behavior management.
- Conditions
- Dental Anxiety in Children, Behavior Management, Pediatric Dental Anxiety
- Trial name
- AI-STORY (NCT07778134)
- Testing
- AI-Generated Personalized Dental Storybook, Standard Dental Storybook, Standard Behavior Guidance
- Where
- Turkey (Türkiye)
- Volunteers
- 69 people, healthy volunteers welcome
- Sponsor
- Eskisehir Osmangazi University
Necrotizing Enterocolitis (NEC), Healthy Control
Predictive Diagnosis of Ulcero-Necrotizing EnteroColitis in Premature Babies Using an Artificial Intelligence Approach Based on Early Analysis of the Fecal Microbiota
Prematurity affects around 7% of births in France. Necrotizing enterocolitis (NEC) is a dreaded digestive complication. It is responsible for a mortality rate ranging from 15 to 40%, a rate that has remained stable in recent…
- Trial name
- PECUNIA (NCT06727877)
- Testing
- Ability of early digestive microbiota analysis (using artificial intelligence) to predict the occurrence of NEC diagnosed according to the Bell classification.
- Where
- 5 sites in France
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- University Hospital, Clermont-Ferrand