Clinical trials: Artifical Intelligence
Breast Cancer, Breast Cancer Screening
Breast Cancer AI Imaging Study
This study aims to develop a social health platform called MammoChat (https://MammoChat.com) that allows patients to share their real-world patient data to a trusted network for development of clinical intelligence to improve…
- Trial name
- NCT06604078
- Where
- United States
- Volunteers
- 199 people, healthy volunteers welcome
- Sponsor
- University of Central Florida
Colonic Polyps, Artifical Intelligence
The Long-term Effect of Artificial Intelligence-assisted Colonoscopy on Risk of Metachronous Advanced Colonic Lesion
The goal of this prospective study is to to evaluate the prevalence of metachronous advanced colonic lesions in subsequent surveillance colonoscopies in patients who had previously undergone AI-assisted colonoscopy to…
- Conditions
- Colonic Polyps, Artifical Intelligence, Advanced Metachonous Colonic Lesion
- Trial name
- NCT07467928
- Testing
- Suveillance colonoscopy
- Where
- Hong Kong
- Volunteers
- 404 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
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
Shade Match, Intraoral Scanner
Evaluation of Different Color Determination Methods
With the increasing aesthetic demands in dental practice, the accuracy and consistency of tooth color determination methods have gained importance for clinical success.
- Conditions
- Shade Match, Intraoral Scanner, Artifical Intelligence
- Trial name
- NCT07781839
- Testing
- Observer-Based Shade Selection, Artificial Intelligence-Based Shade Selection, Digital Intraoral Scanner
- Where
- Turkey (Türkiye)
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Konya Necmettin Erbakan Üniversitesi
Oral Cancer, Psychological Distress
Develop and Evaluate An Artificial Intelligence Assisted Prehabilitation Program for Returning to Work and Cost-effectiveness Analysis in Patients With Oral Cancer
The goal of this clinical trial is to develop and evaluate an Artificial Intelligence Assisted Prehabilitation Program (AI APP) for returning to work and cost-effectiveness analysis in patients with oral cancer (OC).
- Conditions
- Oral Cancer, Psychological Distress, Communication Aids for Disabled, Physiotherapy
- Trial name
- NCT07562100
- Testing
- Prehabilitation application, Conventional physiotherapy, Scar management
- Where
- 5 sites in Taiwan
- Volunteers
- 650 people, healthy volunteers welcome
- Sponsor
- Taipei Veterans General Hospital, Taiwan
Emotional Assessment, Nursing
Emotional Assessment and Tiered Individualized Psychological Support of the Artificial Intelligence Robot
To develop the E-MOTE robot and evaluate its effectiveness in addressing psychological distress, physical symptom, stress index, and quality of life, as well as to explore its clinical applicability.
- Conditions
- Emotional Assessment, Nursing, Gynecological Cancers
- Trial name
- NCT07365761
- Testing
- E-MOTE group
- Where
- Taiwan
- Volunteers
- 130 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
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
Ophthalmic Disease, Artifical Intelligence
Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients
This clinical trial is testing whether plain language summaries made by artificial intelligence help people understand their eye doctor's notes better.
- Conditions
- Ophthalmic Disease, Artifical Intelligence, Large Language Model
- Trial name
- NCT06859216
- Testing
- AI-Generated Plain Language Summaries
- Where
- United States
- Volunteers
- 460 people, healthy volunteers welcome
- Sponsor
- University of California, Los Angeles
Educational Assessment, Artifical Intelligence
Large Language Models Versus Human Examiners for Grading Physiotherapy Clinical Cases
This study evaluates whether large language models (LLMs) can reliably assess written clinical-reasoning case examinations completed by undergraduate physiotherapy students, compared with faculty assessment.
- Conditions
- Educational Assessment, Artifical Intelligence, Physical Therapy Education
- Trial name
- PACE-AI (NCT07677202)
- Testing
- LLM-based assessment, Faculty assessment (reference standard)
- Where
- Spain
- Volunteers
- 65 people, healthy volunteers welcome
- Sponsor
- Neuron, Spain
Aortic Valve Stenosis, Artifical Intelligence
Smartphone Based Digital Screening for Aortic Valve Stenosis
Heart valve diseases are among the most serious cardiovascular conditions in older age. One of the most common forms is aortic valve stenosis, a narrowing of the valve opening between the left ventricle and the main artery.
- Trial name
- SMART-VALVE (NCT07284550)
- Testing
- Smartphone-based signal acquisition
- Where
- Austria
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Medical University Innsbruck
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
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
Oxygen Therapy
The SATURİSTA Device
This study aims to evaluate the functional performance and feasibility of the Saturista system, a novel device designed for automated oxygen flow regulation based on continuous monitoring of oxygen saturation (SpO₂).
- Trial name
- SATURİSTA (NCT07576946)
- Where
- Turkey (Türkiye)
- Volunteers
- 7 people, healthy volunteers welcome
- Sponsor
- Koç University
Parkinson Disease, Idiopathic, Freezing of Gait
AID-FOG: Artificial Intelligence-Driven Freezing of Gait Detection in the Home
Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease increases the risk of falling. Despite being a common symptom, it is still difficult to evaluate freezing of gait quickly and accurately.
- Conditions
- Parkinson Disease, Idiopathic, Freezing of Gait, Validation, Wearable Sensors
- Trial name
- AID-FOG (NCT07580612)
- Where
- 3 sites in Belgium, Germany and 1 more
- Volunteers
- 126 people, healthy volunteers welcome
- Sponsor
- KU Leuven
Anxiety, Artifical Intelligence
Anxiety and Information Methods in Molar Extraction
The aim of this clinical study is to investigate the effects of different information methods on patients' anxiety levels during dental procedures under anesthesia.
- Conditions
- Anxiety, Artifical Intelligence, Health Communication, Information Dissemination
- Trial name
- NCT07019688
- Testing
- Standard Information, Clinician Information, AI Info
- Where
- Turkey (Türkiye)
- Volunteers
- 105 people, healthy volunteers welcome
- Sponsor
- Kırıkkale 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
Artifical Intelligence, Cataract
Development of a Mobile Terminal-Based Intelligent Detection System for Multiple Anterior Segment Diseases of the Eye
This is a multi-center, cross-sectional study evaluating a smartphone-based artificial intelligence (AI) system for anterior segment eye disease screening.
- Conditions
- Artifical Intelligence, Cataract, Pterygium, Keratopathy
- Trial name
- LENS (NCT07634913)
- Testing
- Smartphone-based on-device artificial intelligence system for anterior segment eye disease screening
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Acute Myocardial Infarction (AMI), Electrocardiography
Acute Myocardial Infarction Prediction Using Artificial Intelligence Applied to Electrocardiogram Images
The goal of this observational study is to develop and validate an artificial intelligence(AI)-based prediction model for new-onset acute myocardial infarction(AMI) using electrocardiogram(ECG) data.
- Conditions
- Acute Myocardial Infarction (AMI), Electrocardiography, Artifical Intelligence
- Trial name
- NCT07163767
- Testing
- Deep learning approach of ECG for AMI detection
- Where
- China
- Volunteers
- 150,000 people, healthy volunteers welcome
- Sponsor
- Guangdong Provincial People's 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
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