AI-based ultrasound image interpretation system
Artificial Intelligence-aimed Point-of-care Ultrasound Image Interpretation System
This study is testing if an AI system can help doctors better understand ultrasound images for conditions like fluid around the heart and kidney swelling.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 300 (estimated) |
| Ages | 20 Years and up |
| Sex | All |
| Sponsor | National Taiwan University Hospital Academic / other |
| Locations | 1 site (Taipei, None Selected) |
| Trial ID | NCT04876157 on ClinicalTrials.gov |
What this trial studies
This project investigates the feasibility of using artificial intelligence for interpreting ultrasound images, focusing on two main conditions: pericardial effusion and hydronephrosis. It involves developing image recognition systems using advanced techniques like U-Net and Transfer Learning to enhance diagnostic accuracy. The study aims to validate the efficacy of these AI models in real clinical settings, ultimately improving decision-making and medical education for emergency physicians. The project spans one year and includes coordination between sub-projects for dynamic and static image analysis.
Who should consider this trial
Good fit: Ideal candidates are patients receiving echocardiography or renal ultrasound.
Not a fit: Patients not undergoing echocardiography or renal ultrasound may not benefit from this study.
Why it matters
Potential benefit: If successful, this could significantly enhance the speed and accuracy of ultrasound image interpretation for patients.
How similar studies have performed: Other studies have shown promise in using AI for medical image interpretation, indicating potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * patients receiving echocardiography or renal ultrasound Exclusion Criteria: * patients not receiving echocardiography or renal ultrasound
Where this trial is running
Taipei, None Selected
- Wan-Ching Lien — Taipei, None Selected, Taiwan (Recruiting)
Study contacts
- Principal investigator: Wan-Ching Lien — National Taiwan University Hospital
- Study coordinator: Wan-Ching Lien, Ph D
- Email: wanchinglien@ntu.edu.tw
- Phone: +886-2-23123456
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.