Routine transthoracic echocardiography
Conditions
Interventions
Group 1: The study population will consist of participants who are 18 years or older and are referred to our centre for routine transthoracic echocardiography (TTE).
Sponsors
Klinik für Innere Medizin und Kardiologie Herzzentrum Dresden, Universitätsklinik an der Technischen Universität Dresden
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Routine transthoracic echocardiography
Exclusion criteria
Exclusion criteria: Persons who fulfil one of the following criteria are excluded from participation in this study: - Age of less than 18 years (children or adolescents) - Existing complex congenital heart defects - Vulnerable populations, e.g. pregnant women and prisoners. - Individuals who are unable to sign an independent study consent form.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The aim of the study is to investigate whether automated, AI-based software can significantly reduce the time required to fully analyse transthoracic echocardiography examinations. In detail, this includes - the comparison of the time required for fully automated AI-supported analysis, - the duration of any manual adjustments (post-processing) of the measured values generated by the AI, - as well as the time required for conventional manual analysis by blinded examiners with different levels of experience (a beginner and an experienced cardiologist) in echocardiography. | — |
Secondary
| Measure | Time frame |
|---|---|
| a) Evaluation of the agreement between the fully automatically generated measured values of the AI software and the conventionally manually recorded measured values by examiners of different levels of experience (beginners to experienced cardiologists). b) Analysing the frequency of manual adjustments to the AI-based measurements and assessing the clinical relevance of these corrections for the final measurement results. c) Determination of the diagnostic accuracy of the AI software in the identification of pathological findings in comparison to the results of experienced and inexperienced examiners. In addition, the false-negative and false-positive rates of the automated system will be determined. | — |
Countries
Germany
Contacts
Public ContactKrunoslav Michael Sveric
Klinik für Innere Medizin und Kardiologie Herzzentrum Dresden, Universitätsklinik an der Technischen Universität Dresden
Outcome results
None listed