Data Construction Project for Artificial Intelligence Learning: Chest Auscultation Sound Data

Study Overview
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Brief Summary
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The purpose is to establish chest auscultation data and related clinical data for diagnosing heart and lung diseases.

Detailed Description
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The incidence of cardiovascular diseases worldwide is steadily increasing. According to the report of the American Heart Association, there were 271 million cardiovascular diseases in 1990, and 523 million cases in 2019, about doubling in 30 years. The number of deaths due to cardiovascular disease is also steadily increasing from 12.1 million in 1990 to 18.6 million in 2019. Physical examination, which is the most basic skill in patient care, consists of inspection, auscultation, percussion, and palpation. Among them, auscultation is the most widely used test in all areas where a stethoscope is used, and it is a basic examination that is essential from primary medical institutions to tertiary medical institutions for non-invasive initial diagnosis in patients complaining of chest symptoms. However, if a specialist in the field with a lot of experience does not interpret it carefully, it is difficult to make a decision, and the deviation of the test results is large, so a significant number of patients depend on expensive follow-up tests (ultrasound, CT, MRI, etc.) This leads to a vicious cycle of incurring costs and unnecessary treatment. Recently, with the development of machine learning techniques, computing technologies, and artificial intelligence (AI) based on a lot of data, various learning technologies are applied as tools for disease diagnosis and prognosis prediction in medicine. Through machine learning-based chest auscultation sound analysis, there is an expectation that disease diagnosis and prognosis prediction will be able to overcome differences and interpretations by examiners. It can be very helpful in preventing overuse of tests and reducing medical costs.

Official Title
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Data Construction Project for Artificial Intelligence Learning: Chest Auscultation Sound Data

Conditions
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Auscultation for Clinical Evaluation

Intervention / Treatment
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* Diagnostic Test: Chest auscultation


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Adults who are 20 years and older Exclusion Criteria: Patient refusal Uncertain radiographs Uncertain tests results

Ages Eligible for Study
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Minimum Age: 20 Years
Maximum Age: 90 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Severance hospital<br>Cardiovascular disease patients | Diagnostic Test: Chest auscultation<br>* Chest auscultation data<br>|
| Yongin Severance hospital<br>Cardiovascular disease patients | Diagnostic Test: Chest auscultation<br>* Chest auscultation data<br>|
| Soon Chun Hyang University Hospital Bucheon<br>Cardiovascular disease patients | Diagnostic Test: Chest auscultation<br>* Chest auscultation data<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Incidence of valvular heart disease | Echocardiography, coronary CTA, coronary angiography and other examinations find direct evidence of coronary artery stenosis, which can confirm the diagnosis | Within one week of echocardiography |