Clinical trials: AI
Class I Malocclusion, Class II Div 1 Malocclusion
Assesment of Ethnic Bias in an Artificial Intelligence Based Orthodontic Diagnosis System
This study explores how artificial intelligence (AI) can be used in orthodontics, which is the area of dentistry that focuses on correcting jaw and bite problems.
- Conditions
- Class I Malocclusion, Class II Div 1 Malocclusion, Class II Division 2 Malocclusion, Class III Malocclusion
- Trial name
- NCT07162753
- Where
- Turkey (Türkiye)
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Bezmialem Vakif University
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
Microalbuminuria, Microalbuminuria /Creatinine Ratios ACR
New Taipei City 888 Digital Medical AI Platform for Prevention and Care of the Three Highs and Cardio-Renal-Vascular Diseases
Non-communicable diseases (NCDs), or chronic diseases, are a major public health burden globally and in Taiwan, and control of the "three highs" (hypertension, dyslipidemia, and hyperglycemia) is a national priority.
- Conditions
- Microalbuminuria, Microalbuminuria /Creatinine Ratios ACR, Cardiovascular Disease Risk Factor, Cardiovascular Disease Prevention
- Trial name
- DIGICARE-DREAM (NCT07588256)
- Testing
- Interactive digital modules, Antihypertensive Medication Management
- Where
- Taiwan
- Volunteers
- 4,162 people
- Sponsor
- New Taipei City Medical Association
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
Out-Of-Hospital Cardiac Arrest, Trauma
AI to Improve Data From Danish Cardiac Arrest Registry
Out-of-hospital cardiac arrest is a leading cause of death worldwide and patient outcome vary substantially throughout regions suggesting further evaluation and potential for improvement.When focussing on subgroups of OHCA, data…
- Conditions
- Out-Of-Hospital Cardiac Arrest, Trauma, Drug Overdose, Electrocution
- Trial name
- NCT05308303
- Where
- Denmark
- Volunteers
- 31,200 people
- Sponsor
- Prehospital Center, Region Zealand
Cutaneous Lymphoproliferative Diseases, Mycosis Fungoides of Skin (Diagnosis)
Development of an AI-Assisted Diagnostic Tool for Mycosis Fungoides and Other Cutaneous Lymphoproliferative Diseases Using Microscopic Image Analysis: A Training and Validation Study
Cutaneous lymphoproliferative diseases (CLPDs) are a group of skin disorders that range from benign conditions, such as pseudolymphomas, to malignant forms like cutaneous T-cell and B-cell lymphomas.
- Conditions
- Cutaneous Lymphoproliferative Diseases, Mycosis Fungoides of Skin (Diagnosis), T Cell Dyscrasia, PLEVA-PLC Spectrum
- Trial name
- NCT07705386
- Testing
- AI-assisted histopathology image analysis
- Where
- Egypt
- Volunteers
- 463 people
- Sponsor
- Cairo University
Non-Small Cell Lung Cancer
AI Models for Predicting Occult Pleural Dissemination in NSCLC
Occult pleural dissemination (PD) in non-small cell lung cancer (NSCLC) patients is likely to be missed on computed tomography (CT) scans, associated with poor survival, and generally contraindicated for radical surgery.
- Trial name
- NCT07065422
- Where
- China
- Volunteers
- 326 people
- Sponsor
- Daping Hospital and the Research Institute of Surgery of the Third Military Medical University
Knowledge of AI Applications in Dental Imaging
Use of Artificial Intelligence in Oral Radiology: A Multicenter Cross-Sectional Study in Egypt
The survey aims to assess knowledge and perceptions of AI applications in dental imaging among Egyptian dentists. It also aims to identify the needs and challenges of implementing this transformative technology into education…
- Trial name
- NCT06908603
- Testing
- Survey using a questionnaire.
- Where
- Egypt
- Volunteers
- 1,326 people
- Sponsor
- Cairo University
Orthodontic Treatment Planning, Congenitally Missing Maxillary Lateral Incisors
AI-Guided Treatment Planning in Orthodontic Patients With Missing Upper Lateral Incisors
This pilot study aims to evaluate the diagnostic accuracy of artificial intelligence (AI) in orthodontic treatment planning for patients with congenitally missing upper lateral incisors.
- Trial name
- SMILE-AI (NCT07133867)
- Where
- Egypt
- Volunteers
- 110 people, healthy volunteers welcome
- Sponsor
- Cairo University
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
Gastrointestinal Issues, Respiratory Issues
Real-world Observation of Medical Accuracy of a Novel AI-app
This study aims to evaluate the performance of the suggestions made by the WRA by comparing Ada's list of suggested conditions and advice level to usual care and a gold-standard in a Romanian clinical setting.
- Conditions
- Gastrointestinal Issues, Respiratory Issues, Cardiovascular Issues, Genitourinary Issues
- Trial name
- ROMAN-AI (NCT05194215)
- Testing
- Ada WRA
- Where
- Romania
- Volunteers
- 49 people
- Sponsor
- Ada Health GmbH
ER+ Breast Cancer
Study of the Effect of the Addition of SNDX-275 (Entinostat) to Continued Aromatase Inhibitor (AI) Therapy in Postmenopausal Women With ER+ Breast Cancer Whose Disease is Progressing
The addition of entinostat to an AI will result in a maximal abrogation of estrogen receptor-α mediated activity and inhibit mechanisms of resistance to the aromatase inhibitor.
- Trial name
- NCT00828854
- Testing
- Entinostat, Aromatase Inhibitor (AI) Therapy
- Where
- 6 sites in Ireland, United Kingdom
- Volunteers
- 27 people
- Sponsor
- Syndax Pharmaceuticals
Nursing Students, Artificial Intelligence (AI)
Effect of AI-Supported Case Analysis on Nursing Students
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills.
- Conditions
- Nursing Students, Artificial Intelligence (AI), Clinical Decision-Making in Nursing
- Trial name
- NCT07611383
- Testing
- AI-supported case, Control Group
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- Nevsehir Haci Bektas Veli University
Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme
Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
A vision-language model using preoperative MRI and clinical variables has been developed to simultaneously predict three key molecular markers in midline gliomas: H3K27M, IDH, and 1p/19q.
- Conditions
- Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme, Glioma of Brainstem, Glioma, Diffuse Midline, H3K27M-mutant
- Trial name
- NCT07608003
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Xiangya Hospital of Central South University
Congenital Heart Disease, Bronchopneumonia
Research on Body Voice AI Recognition System for Children's Health Management
The purpose of this research is to develop a body voice artificial intelligence (AI) recognition device, also referred to as an AI-assisted body sound identification device, by utilizing a deep learning-based novel AI algorithm…
- Conditions
- Congenital Heart Disease, Bronchopneumonia, Abdominal Disease
- Trial name
- NCT06542120
- Testing
- Heart Auscultation and Echocardiography, Chest Auscultation and Chest imaging examinations, Abdominal Auscultation and Abdominal imaging examinations
- Where
- 5 sites in China
- Volunteers
- 30,000 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Age-Related Macular Degeneration
Patient-centred Smartphone AI for Protecting Vision in Macular Disease
Macular disease is the leading cause of blindness in the UK and age-related macular degeneration must undergo monitoring to determine if an injection into the eye is required that month [required in 50% of visits] - these…
- Trial name
- NCT05433766
- Where
- 2 sites in United Kingdom
- Volunteers
- 500 people
- Sponsor
- OKKO Health
Kawasaki Disease
Kawasaki MATCH Trial
Evaluating the impact of a machine-learning clinical decision support tool on provider practice when evaluating febrile patients with Kawasaki Disease (KD) and non-KD illnesses.
- Trial name
- MATCH (NCT07291245)
- Testing
- Kawasaki MATCH
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- University of California, San Diego
Neonatal Seizure
The Effect of AI-assisted cEEG Diagnosis on the Administration of Antiseizure Medication in Neonatal Seizures
This is a prospective randomised clinical trial study to test an artificial intelligence (AI)-assisted continuous electroencephalogram(cEEG) diagnostic tool for optimizing the administration of antiseizure medication (ASM) in…
- Trial name
- NCT05036395
- Testing
- The routine assessment protocol and AI-assisted cEEG Diagnostic tool, The routine assessment protocol
- Where
- 3 sites in China
- Volunteers
- 1,000 people
- Sponsor
- Children's Hospital of Fudan University
Intellectual Disability
AI-Supported and Traditional Tennis Training in Individuals With Intellectual Disabilities
This study aims to examine the tennis learning experiences of children with mild intellectual disabilities aged 12-18 years by comparing a real-time pose recognition technology-supported teaching approach with a traditional…
- Trial name
- TENN-ID (NCT07577830)
- Testing
- Technology-Supported Tennis Training (Real-Time Pose Estimation-Based Instruction), Traditional Tennis Training
- Where
- Turkey (Türkiye)
- Volunteers
- 30 people
- Sponsor
- Burdur Mehmet Akif Ersoy University
Borderline Intellectual Functioning (BIF), Intellectual Disability
Co-design of an AI Rehabilitation Program for Children With Borderline Intellectual Disorder
Co-design of an AI Rehabilitation Program for Children With Borderline Intellectual Disorder
- Trial name
- NCT07625592
- Testing
- Tablet-Based AI Cognitive and Language Rehabilitation Program
- Where
- South Korea
- Volunteers
- 30 people
- Sponsor
- Samsung Medical Center