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The Development of Quantitative Ultrasound Imaging Software Platform

The Development of Artificial Intelligence (AI) Based High Performance Structural-functional and Quantitative Ultrasound Imaging Software Platform

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05836246
Enrollment
196
Registered
2023-05-01
Start date
2020-09-01
Completion date
2026-03-31
Last updated
2023-05-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Myocardial Infarction, Benign Breast Disease, Chronic Liver Disease, Malignant Breast Neoplasm, Thyroid Disease

Brief summary

The goal of this observational study is to compare the image differences between conventional ultrasound and artificial intelligence-based ultrasound software in conscious adults. The main question it aims to answer is to evaluate the effectiveness by determining that the new image analysis method is considered valid if it helps to identify more than 30% of histological characteristics. Participants will undergo the examination using the two methods mentioned earlier after signing the consent form.

Interventions

None listed

Sponsors

Seoul National University Bundang Hospital
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* People with heart disease, thyroid disease, breast disease, and liver disease.

Exclusion criteria

* Someone who has received surgery on the target organ in question.

Design outcomes

Primary

MeasureTime frameDescription
Quantitative ultrasound information5 yearsQuantitative ultrasound images of heart, thyroid, and breast disease

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026