Clinical trials: Artificial Intelligent
Acute Respiratory Distress Syndrome, Pneumonia in Children
Using Artificial Intelligence To Improve Ventilator Settings For Intensive Care Patients
This observational study aims to determine whether an AI-assisted decision support system can improve clinical outcomes for mechanically ventilated pediatric patients (aged 1 month to 18 years) in the PICU, compared to standard…
- Conditions
- Acute Respiratory Distress Syndrome, Pneumonia in Children, Respiratory Failure (Pediatric Patients)
- Trial name
- NCT07592039
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Wu Rongzhou
Data Quality
Healthy Data: Improving Health Information Quality Using Intelligent Systems
Electronic Health Record Systems (EHR) play an integral role in healthcare practice, enabling health organisations to collect, access and manage data more consistently.
- Trial name
- NCT05144230
- Volunteers
- 60,000 people, healthy volunteers welcome
- Sponsor
- University of Portsmouth
Gastrointestinal Hemorrhage
Artificial Intelligent Clinical Decision Support System Simulation Center Study for Technology Acceptance
The purpose of this research study is to measure the effect on of a large language model interface on the usability, attitudes, and provider trust when using a machine learning algorithm-based clinical decision support system in…
- Trial name
- NCT05816473
- Testing
- LLM
- Where
- United States
- Volunteers
- 108 people, healthy volunteers welcome
- Sponsor
- Yale University
Hepatocellular Carcinoma
The AI Prognostic Assessment and Pathological Basis Research of Early HCC After Minimally Invasive Treatment
The study evaluates artificial intelligence method based on multimodal magnetic resonance imaging (MRI) images and clinical data in preoperative prediction of prognosis in early hepatocellular carcinoma (HCC) patients treated…
- Trial name
- NCT04299919
- Testing
- Minimally invasive treatment, Hepatectomy
- Where
- China
- Volunteers
- 1,200 people
- Sponsor
- The First Affiliated Hospital of Dalian Medical University
Thyroid Abnormalities, Thyroid
Ultrasound Large-scale Model in Thyroid Field: A Multi-center Study on Medical-Engineering Integration
The goal of this observational study is to evaluate the diagnostic accuracy and clinical workflow integration of an ultrasound intelligent agent (UIA) for thyroid disease management in a real-world multicenter setting.
- Conditions
- Thyroid Abnormalities, Thyroid, Thyroid Cancer
- Trial name
- NCT07296575
- Testing
- No intervention
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Catarct Screening, Artificial Intelligence
Intelligent Cataract Screening With Portable Slit-lamp
Based on the portable slit-lamp connected to the smartphone, the artificial intelligence machine learning algorithm is used to establish a cataract screening model by prospectively collecting the anterior segment photographic…
- Trial name
- AI (NCT05204095)
- Testing
- Portable slit-lamp photography
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Asthma in Children, Artificial Intelligence
Artificially Intelligent Robot Control
The purpose of the study is to compare the impact of standard asthma education with the standard + Artificially Intelligent Robot (AIR) Control intervention.
- Conditions
- Asthma in Children, Artificial Intelligence, Caregiver Burden
- Trial name
- AIR (NCT07738016)
- Testing
- Artificially Intelligent Robot (AIR) Control Intervention, Standard Asthma Education
- Where
- United States
- Volunteers
- 80 people
- Sponsor
- University of Miami
Skin Diseases, Artificial Intelligence
A Multi-centric Clinical Trial in China for Skin Diseases Intelligent Diagnosis and Treatment System
In response to clinical needs, infrared multi-spectral images are combined with traditional clinical images and other multi-modal data to build a more efficient intelligent auxiliary diagnosis system and intelligent equipment for…
- Conditions
- Skin Diseases, Artificial Intelligence, Augmented Reality, Medical Imaging
- Trial name
- NCT05463523
- Testing
- A Real-time Augmented Reality Device with Artificial Intelligence Integration
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Xiangya Hospital of Central South University
Ophthalmopathy, Artificial Intelligence
Validation of the Utility of Ophthalmology Intelligent Diagnostic System
The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too simple to be generally applied to…
- Trial name
- NCT03499145
- Testing
- Ophthalmology diagnostic system.
- Where
- China
- Volunteers
- 615 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Intracranial Aneurysm
Intelligent Microcatheter Shaping for Intracranial Aneurysm Coil Embolization
This prospective, multicenter, observational registry study will evaluate the real-world safety, effectiveness, and clinical value of artificial intelligence (AI)-assisted microcatheter shaping during coil embolization of…
- Trial name
- NCT07749404
- Testing
- Physician-Experience Microcatheter Shaping, AI-Assisted Microcatheter Shaping Simulation Technology
- Where
- China
- Volunteers
- 1,438 people
- Sponsor
- Xuanwu Hospital, Beijing
Acute Otitis Media (AOM), Upper Respiratory Infection
Artificial Intelligence Diagnostic Decision Support to Reduce Antimicrobial Prescriptions in Young Children With Colds
Ear infections are common in young children with cold symptoms, but they can be difficult to diagnose due to small ear canals, child movement, and limited viewing time.
- Trial name
- IMAGE (NCT06876259)
- Testing
- Standard Clinical Ear Exam, AI app ear exam and diagnosis
- Where
- 2 sites in United States
- Volunteers
- 300 people
- Sponsor
- Timothy Shope
Arrhythmias, Cardiac
Relevance of Recording an ECG Trace With a Connected Watch
Over the past few years, various systems have been developed to record ECG traces on an ambulatory basis. The latest connected watch models feature 2-electrode ECG recording.
- Trial name
- ECG-MC (NCT06272396)
- Testing
- Smart watch
- Where
- France
- Volunteers
- 3,000 people
- Sponsor
- University Hospital, Bordeaux
Unilateral Cerebral Palsy
Validation of AI for Personalized Assessment and Rehabilitation of Upper Limb in Children With Unilateral Cerebral Palsy
Unilateral Cerebral palsy (UCP) is the most common neurological chronic disease in childhood with a significant burden on children, their families and health care system.
- Trial name
- AInCP (NCT06073522)
- Testing
- Artificial Intelligence for combining multi-domain data acquisition
- Where
- 2 sites in Italy, Spain
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- IRCCS Fondazione Stella Maris
Ophthalmopathy, Artificial Intelligence
Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children
Visual development during early childhood is a vital process. Examining the visual acuity of children is essential for the early detection of visual abnormality, but performing such an assessment in children is challenging.
- Trial name
- NCT03766737
- Testing
- An intelligent visual acuity diagnostic system for children
- Where
- China
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Surgical Education
Effectiveness of an Artificial Intelligent Tutoring System in Simulation Training
Brief Summary: Background: Although surgical experience and technical skill are associated with better patient outcomes, quantitating surgical ability in the operating room is challenging.
- Trial name
- NCT04700384
- Testing
- Virtual Operative Assistant Training, Remote-Based Expert Instructor Training
- Where
- Canada
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- McGill University
Fetus Disorder
AutoFUSE or First-Trimester Ultrasound Scan
The goal of this clinical trial is to validate the clinical application capabilities of AutoFUSE. The main questions it aims to answer are: Does AutoFUSE reduce the time required to obtain standard planes in first-trimester…
- Trial name
- NCT07601191
- Testing
- AutoFUSE system, Traditional ultrasound scan
- Where
- 3 sites in China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Tetanus
Real-time Artificial Intelligent (AI)-Assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in ICU Patients
This study aims to investigate the feasibility of using a real-time artificial intelligent (AI)-assisted tool for Rectus Femoris cross sectional area measurement from muscle ultrasound to improve reliability, reduce inter- and…
- Trial name
- RAIMUS (NCT06034093)
- Testing
- Real-time AI-assisted muscle ultrasound
- Where
- Vietnam
- Volunteers
- 254 people
- Sponsor
- Oxford University Clinical Research Unit, Vietnam
Ophthalmology
The Clinical Application of Artificial Intelligent(AI) Visual Inspection System
In this study, the investigators provide participants from ophthalmic clinic the AI visual inspection system and EDTRS in the purpose of seeking out a better way of visual inspection with high efficiency and accuracy, and report…
- Trial name
- AI (NCT03310216)
- Testing
- Order I of visual inspection, Order II of visual inspection
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Hepatocellular Carcinoma (HCC)
Artificially Intelligent Model for Accurate Detection of HCC
Purpose: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. The investigators aimed to develop a model with multi-modal features (MMF) using artificial…
- Trial name
- NCT06637059
- Testing
- observational study
- Where
- China
- Volunteers
- 1,092 people
- Sponsor
- Zhejiang University
Asthma in Children, Artificial Intelligence
AIR Support: Artificially Intelligent Robot (AIR) Support for Pediatric Asthma Education
The purpose of this prevention study is to evaluate the design and usability of a newly developed asthma education protocol with the Human Support Robot (HSR) for children with asthma.
- Trial name
- NCT07387718
- Testing
- Standard Asthma Education, Artificially Intelligent Robot (AIR) Support Intervention
- Where
- United States
- Volunteers
- 98 people
- Sponsor
- University of Miami