Clinical trials: Artifical Intelligence
Post-Stroke Cognitive Impairment (PSCI), Stroke
Artificial Intelligence-Based Cognitive Training in Patients With Stroke
This study would answer the following question:Does AI application-based training improve cognitive function in Patients with Stroke? The aims of this study: To investigate the efficacy of AI application-based training on…
- Conditions
- Post-Stroke Cognitive Impairment (PSCI), Stroke, Artifical Intelligence
- Trial name
- AICoRe-Stroke (NCT07452276)
- Testing
- cognifit Mobile Application for Cognitive Training, Conventional Cognitive Rehabilitation
- Where
- Egypt
- Volunteers
- 40 people
- Sponsor
- Omima Alaa Eldin Hussein
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
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
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
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Artifical Intelligence, Echography Ultrasound
Study Comparing Two Image Acquisition Modalities for Second-trimester Pregnancy Screening Ultrasound
The second-trimester morphology ultrasound is a key examination in obstetric monitoring that aims to assess fetal growth, identify any structural abnormalities, and inspect anexes such as placenta, umbilical cord, cervix,...
- Trial name
- Echo-IA (NCT07286591)
- Testing
- Standard Ultrasound, US with AI
- Where
- France
- Volunteers
- 50 people
- Sponsor
- Clinique Rive Gauche
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
Nurse's Role
Would Artificial Intelligence Reduce Delays to Nurse Response Times
Patients are admitted to wards at all times of day and night and in various states of ill health. As this research is non interventional and does not impact on patient safety, the guidance from the ethics committee was reviewed…
- Trial name
- WAiRD (NCT06043986)
- Testing
- novel nurse call system
- Where
- United Kingdom
- Volunteers
- 40 people
- Sponsor
- The Leeds Teaching Hospitals NHS Trust
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
Openbite, Artifical Intelligence
Reliability of Artificial Intelligence for Treatment Decision for Adult Skeletal Open Bite Patients
This study evaluated a specially designed AI model developed by a programmer using x-ray readings and corresponding treatment decisions from 70% of the cases (either orthodontic treatment only or orthodontic treatment with…
- Trial name
- AIASOBP (NCT06992908)
- Where
- Egypt
- Volunteers
- 53 people
- Sponsor
- Cairo University
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