Development of echocardiography-guid AI to aid echocardiography acquisition

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1040220092

Enrollment

100

Registered

2022-11-17

Start date

2022-11-17

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

none

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Volunteers must be able-bodied volunteers who meet all of the following criteria 1. Healthy volunteers between the ages of 18 and 40 years old. 2. have signed a consent form to participate in the study.

Exclusion criteria

Exclusion criteria: Patients who meet any of the following criteria will not be included in this study 1. Patients who have been diagnosed with a cardiac abnormality during a physical examination or other medical examinations. 2. Women who are pregnant or may become pregnant.

Design outcomes

Primary

Measure	Time frame
The main evaluation item is the accuracy with which artificial intelligence can classify views of echo videos. The accuracy is evaluated by matching with the pre-added correct answer labels.	—

Contacts

Public ContactKazuki Tamura

Hamamatsu University School of Medicine

k.tamura@hama-med.ac.jp+81-53-435-2111

Outcome results