None listed
Conditions
Interventions
None listed
Sponsors
Konyang University Hospital
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Gender: both Age: min. 20 years old max. no limit Adult who visit the outpatient clinic of department of Pulmonology to undergo chest X-ray
Exclusion criteria
Exclusion criteria: 1. Those whose diagnostic model cannot be used due to poor quality of images. 2. Those who did not agree to participate in the study. 3. Those who are pregnant.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic yield of radiologists and physicians for referable chest abnormality;Diagnostic performance comparisons between respiratory medicine physicians in the presence or absence of the AI aid | — |
Secondary
| Measure | Time frame |
|---|---|
| Number of chest CT scans performed or reserved to be performed in each arm;Proportion of the chest CT scans with referable abnormalities;Outpatient clinic follow-up rate or recall rate;Medical source caused by the chest radiograph taken in respiratory medicine;False referral rate of radiologists and physicians for referable chest abnormality;Diagnostic performance of the AI algorithm for referable abnormalities in chest radiographs | — |
Countries
Korea, Republic of
Contacts
Public ContactYoung Jun Cho
Konyang University Hospital
Outcome results
None listed