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

Recruiting now · Not applicable

Conditions studied: Ultrasound Image Interpretation

In brief

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.

Key facts

Study ID
NCT04876157
Run by
National Taiwan University Hospital
People needed
300
Starts
2020-08-01
Expected to finish
2026-12-31
Last updated by the study team
2025-09-19

Who can join

Age: 20 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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