Clinical trials: AI
Cardiac Anomalies
Prospective Evaluation of Cardiac Point-of-Care Ultrasound (POCUS) Performed by PEM Fellows and Artificial Intelligence on Children With Pre-existing Cardiac Conditions.
The goal of this study is to prospectively assess the diagnostic agreement of PEM fellow-performed cardiac POCUS and of AI-assisted interpretation using the Exo Iris probe, as compared to a complete echocardiography for detecting…
- Trial name
- POCUS-AI PEM (NCT07503158)
- Testing
- AI Pocus_Cardiac
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- Nicklaus Children's Hospital f/k/a Miami Children's Hospital
CNS Tumor, Artificial Intelligence (AI)
Self-administered Remote Neurological Examination Using Mobile Application in Patients With Brain Tumors
The goal of this observational study is to evaluate the feasibility and accuracy of a self-administered remote neurological examination using the "Iskhaa" mobile application in patients with brain tumors aged above 5 years who…
- Conditions
- CNS Tumor, Artificial Intelligence (AI), Glioma, Digital Health
- Trial name
- NEMO (NCT07236840)
- Testing
- Neurological assessment
- Where
- India
- Volunteers
- 600 people
- Sponsor
- Tata Memorial Centre
Large Language Model
Evaluating the Acceptability of AI-Personalized Virtual Reality Picture Books for Hospitalized Pediatric Patients
Hospitalization strips pediatric patients of the environments, objects, and people that shape their daily lives. Hospitalized pediatric patients routinely experience painful procedures, psychological distress, boredom, and a…
- Trial name
- LLM-audiobook (NCT07637617)
- Testing
- LLM-audiobook
- Volunteers
- 15 people
- Sponsor
- Stanford University
Burnout, Healthcare Workers, Clinical Workflow Optimization
AI Tool to Reduce Clinician Documentation Burden
This study looks at whether a clinician-facing artificial intelligence (AI) tool can help outpatient doctors spend less time reviewing medical records and documenting care.
- Conditions
- Burnout, Healthcare Workers, Clinical Workflow Optimization, Health Information Technology, Electronic Health Records
- Trial name
- Evidently (NCT07498582)
- Testing
- AI Clinical Summarization Tool (Evidently)
- Where
- United States
- Volunteers
- 128 people, healthy volunteers welcome
- Sponsor
- University of North Carolina, Chapel Hill
Ureteral Stent-Related Symptom
Detection of Ureteral Stent Encrustation
Ureteral stents are the most commonly used postoperative implantable materials in urology. The indwelling ureteral stents often lead to the formation of encrustation, with an incidence of 10%, which will lead to complications…
- Trial name
- NCT05495659
- Volunteers
- 156 people
- Sponsor
- Fifth Affiliated Hospital, Sun Yat-Sen University
Biological Age
AI-Driven Prediction of Biological Age With EHR
This is a multi-center, retrospective clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for predicting biological age using electronic health records (EHR).
- Trial name
- NCT06791486
- Testing
- AI-assisted predictive model
- Where
- 4 sites in China
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- The Eye Hospital of Wenzhou Medical University
Fetal Growth, Obstetric Ultrasonography
Clinicians' Trust in AI-Based Fetal Growth Estimates
This study examines how clinicians trust and use artificial intelligence (AI) when estimating fetal weight during pregnancy. Accurate assessment of fetal growth is important for identifying growth problems that may affect…
- Conditions
- Fetal Growth, Obstetric Ultrasonography, Pregnancy, Clinical Decision-making
- Trial name
- NCT07401368
- Testing
- Intervention - AI Performance Information
- Where
- Denmark
- Volunteers
- 130 people, healthy volunteers welcome
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Depression
Clinical Study of Cang Ai Volatile Oil (CAVO) on Mild to Moderate Depression in Children and Adolescents
A randomized controlled trial was conducted to observe the improvement of mild to moderate depressive symptoms in children and adolescents with the aromatic herbal compound Cang Ai Volatile Oil (CAVO) and to evaluate the…
- Trial name
- NCT05789186
- Testing
- CAVO aromatherapy patch at 3% concentration+Fluoxetine hydrochloride mimetic, Fluoxetine hydrochloride tablet+CAVO aromatherapy patch at 0.1% concentration, Fluoxetine hydrochloride mimetic+CAVO aromatherapy patch at 0.1% concentration
- Where
- China
- Volunteers
- 108 people
- Sponsor
- Chen Qian
Fracture
AI Performance for the Detection of Bone Fractures in Children
The artificial intelligence (AI) software BoneView (GLEAMER Company, Paris, France) has been designed, tested and validated to detect and locate recent or semi-recent fractures on standard radiographs.
- Trial name
- NCT05538403
- Where
- France
- Volunteers
- 210 people
- Sponsor
- University Hospital, Montpellier
Hydronephrosis, Hydronephrosis Congenital
Integrating an AI-Driven Hydronephrosis Decision-Making Tool
Hydronephrosis is a common congenital kidney anomaly. While most cases resolve on their own, some require surgery. Clinicians rely on repeated ultrasounds and sometimes invasive tests to decide if surgery is needed, but…
- Trial name
- NCT07581223
- Testing
- Machine learning model
- Volunteers
- 322 people
- Sponsor
- The Hospital for Sick Children
Motor Disorders
Combined Artificial Intelligence and Mobile Application for Remote Infant Motor Screening: Development and Validation
The purpose of this study is therefore five-fold: (1) designation of an APP "Baby Go" version 3.0 to include the assessment, follow-up, and education functions for parental use at home, (2) development and validation of the AI…
- Trial name
- NCT06521918
- Where
- Taiwan
- Volunteers
- 242 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Emergency Patient Transported by Ambulance
Evaluation of Effectiveness for Connected Network for EMS Comprehensive Technical-support Using Artificial Intelligence (CONNECT-AI) System by Community Intervention
This study aims to verify the effectiveness of the connected network for EMS comprehensive technical-support using artificial intelligence (CONNECT-AI) system through demonstration in the local community.
- Trial name
- NCT04829279
- Testing
- CONNECT AI system group
- Where
- South Korea
- Volunteers
- 15,392 people
- Sponsor
- Yonsei 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
Cystic Fibrosis
Safety and Efficacy Study of Aztreonam for Inhalation Solution (AZLI) in Cystic Fibrosis (CF) Patients With Pseudomonas Aeruginosa (PA)
The purpose of this study was to evaluate the safety and efficacy of multiple courses of AZLI in patients with cystic fibrosis (CF) and lung infection due to Pseudomonas aeruginosa (PA).
- Trial name
- AIR-CF3 (NCT00128492)
- Testing
- AZLI 75 mg two times a day (BID)/ three times a day (TID)
- Where
- 65 sites in United States, Australia and 2 more
- Volunteers
- 274 people
- Sponsor
- Gilead Sciences
Allergic Rhinitis, Asthma
ClimAIr: AI to Assess the Impact of Pollution and Climate on Respiratory Health in Europe
The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools.
- Trial name
- ClimAIr (NCT07107009)
- Volunteers
- 1,906 people
- Sponsor
- Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud
NSCLC (Non-small Cell Lung Cancer), Squamous Lung Cancer With FGFR1 Amplification
Clinical Study of the Therapeutic Effectiveness of In-silico-Designed, Machine Learning Inspired, and Quantum-molecularly Coupled Personalized Neoantigenic Vaccines Microlyvaq™ in Patients With Advanced Non-small Cell Lung Cancer
Microlyvaq™ is a first-line, non-randomized, two-arm clinical trial in advanced non-small cell lung cancer (NSCLC). In both arms, patients receive a personalized multi-epitope vaccine (Microlyvaq™) on top of standard-of-care…
- Conditions
- NSCLC (Non-small Cell Lung Cancer), Squamous Lung Cancer With FGFR1 Amplification, Non-Squamous Non Small Cell Lung Cancer
- Trial name
- Microlyvaq™ (NCT07285434)
- Testing
- Microlyvaq™ (Personalized Multi-Epitope Immunotherapeutic)
- Where
- Greece
- Volunteers
- 90 people
- Sponsor
- Biogenea Pharmaceuticals Ltd.
Structural Heart Disease
AI-Assisted Smart Stethoscope Screening for Structural Heart Disease in School Students in Ruyang County
The goal of this observational diagnostic study is to evaluate whether an artificial intelligence (AI)-enabled smart stethoscope can accurately detect structural heart disease in school-aged children and adolescents (10-18 years)…
- Trial name
- RY-CHD Screen (NCT07194785)
- Testing
- AI-Assisted Cardiac Auscultation using the HearTech Smart Stethoscope
- Where
- China
- Volunteers
- 6,614 people, healthy volunteers welcome
- Sponsor
- Heart Health Research Center
Cancer
AI-Augmented Diagnostic Assessment With ENLIGHT Versus Independent Pathologist Review
This study will evaluate whether artificial intelligence (AI) can enhance clinicians' accuracy, efficiency, and confidence in distinguishing lung adenocarcinoma (LUAD) from lung squamous cell carcinoma (LUSC) and kidney renal…
- Trial name
- ENLIGHT (NCT07741058)
- Testing
- Unaided Review First, Then AI as Double-Check, Then AI as First-Look., Unaided Review First, Then AI as First-Look, Then AI as Double-Check., AI as Double-Check First, Then AI as First-Look, Then Unaided Review.
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Harvard Medical School (HMS and HSDM)
Clinical Decision-making, Medical Reporting
Artificial Intelligence as a Decision Making Tool in Emergency Department
This study will evaluate the performance of a large language model (LLM)-based clinical decision support system in the emergency department at Rambam Health Care Campus.
- Conditions
- Clinical Decision-making, Medical Reporting, Emergency Department Visit, Information Systems
- Trial name
- NCT06902675
- Where
- Israel
- Volunteers
- 100,000 people
- Sponsor
- Rambam Health Care Campus
Stroke Outcome Prediction Supported by Deep Learning Algorithm
STOP-stroke: STroke Outcome Prediction in the Acute Treatment Setting
The STOP-stroke project aims at improving prediction of outcome early after stroke. In order to achieve this, we need to understand reasons (important variables) for prediction in a real clinical prognostication process.
- Trial name
- STOP-STroke (NCT06534645)
- Where
- Switzerland
- Volunteers
- 250 people
- Sponsor
- University of Zurich