Acute Myocardial Infarction Clinical Trial
Official title:
The Development of Artificial Intelligence (AI) Based High Performance Structural-functional and Quantitative Ultrasound Imaging Software Platform
Verified date | April 2023 |
Source | Seoul National University Bundang Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational [Patient Registry] |
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.
Status | Enrolling by invitation |
Enrollment | 196 |
Est. completion date | March 31, 2026 |
Est. primary completion date | March 31, 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | 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. |
Country | Name | City | State |
---|---|---|---|
Korea, Republic of | Seoul National University Bundang Hospital | Seongnam | Gyeonggi-do |
Lead Sponsor | Collaborator |
---|---|
Seoul National University Bundang Hospital |
Korea, Republic of,
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Chi J, Walia E, Babyn P, Wang J, Groot G, Eramian M. Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. J Digit Imaging. 2017 Aug;30(4):477-486. doi: 10.1007/s10278-017-9997-y. — View Citation
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Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Quantitative ultrasound information | Quantitative ultrasound images of heart, thyroid, and breast disease | 5 years |
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