Actively Recruiting

Phase Not Applicable
Age: 20Years +
All Genders
NCT04876157

Artificial Intelligence-aimed Point-of-care Ultrasound Image Interpretation System

Led by National Taiwan University Hospital · Updated on 2025-09-19

300

Participants Needed

1

Research Sites

334 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

This proposal is for an one-year project. In this project, we aim to investigate the feasibility of using AI for sonographic image interpretation. The main project is responsible for coordination between the two sub-projects and the main project, providing image resources, and using U-Net (Convolutional Networks for Biomedical Image Segmentation) and Transfer Learning to build up the models for image recognition and validating the efficacy of the models. The purpose of Subproject 1 is to develop an image recognition system for dynamic images: pericardial effusion. After building up the model, validating the efficacy and future revision will be done. Subproject 2 comes out an image recognition system for static images: hydronephrosis. After building up the model, validating the efficacy and future revision will be done.

CONDITIONS

Official Title

Artificial Intelligence-aimed Point-of-care Ultrasound Image Interpretation System

Who Can Participate

Age: 20Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients receiving echocardiography or renal ultrasound
Not Eligible

You will not qualify if you...

  • Patients not receiving echocardiography or renal ultrasound

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

1
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Trial Site Locations

Total: 1 location

1

Wan-Ching Lien

Taipei, None Selected, Taiwan, 100

Actively Recruiting

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Research Team

W

Wan-Ching Lien, Ph D

CONTACT

W

Wan-Ching Lien

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NA

Model

SINGLE_GROUP

Primary Purpose

DIAGNOSTIC

Number of Arms

1

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