Valvular Registry Research Using Artificial Intelligence Technology

Comprehensive Registry of Aortic Valve Stenosis Using AI Analysis

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1070250053

Enrollment

100000

Registered

2025-07-24

Start date

2014-01-01

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

aortic stenosis

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: All patients who underwent transthoracic echocardiography between January 1, 2014 and December 31, 2023 at one of the participating study centers (University of the Ryukyus Hospital, Okinawa Chubu Hospital, Naha City Hospital).

Exclusion criteria

Exclusion criteria: Patients without echocardiographic data available for AI analysis

Design outcomes

Primary

Measure	Time frame
Age-specific prevalence of AS classified according to severity using the same criteria. Prognosis (death, cardiovascular events, hospitalization for heart failure) of AS patients classified according to severity using the same criteria. Progression of AS (changes in initial echocardiogram findings and prognosis).	—

Secondary

Measure	Time frame
Description of referrals to facilities capable of performing AVR. Description of referrals of AS patients to AVR facilities and their prognosis. Association between AS patient symptoms (angina/heart failure as complications, syncope/dyspnea on exertion as symptoms) and prognosis (cardiovascular events, death). Description and comparison of prognosis by severity between AS diagnosed by AI and AS diagnosed by conventional clinical practice. Description and comparison of prognosis by severity between AI-diagnosed AS and AS diagnosed through conventional clinical practice. Investigation of factors contributing to differences in AS diagnosis between AI diagnosis and conventional clinical practice (image quality, equipment, measurement errors, age, gender, body build, subjective symptoms, and other clinical backgrounds).	—

Measure

Time frame

Description of referrals to facilities capable of performing AVR. Description of referrals of AS patients to AVR facilities and their prognosis. Association between AS patient symptoms (angina/heart failure as complications, syncope/dyspnea on exertion as symptoms) and prognosis (cardiovascular events, death). Description and comparison of prognosis by severity between AS diagnosed by AI and AS diagnosed by conventional clinical practice. Description and comparison of prognosis by severity between AI-diagnosed AS and AS diagnosed through conventional clinical practice. Investigation of factors contributing to differences in AS diagnosis between AI diagnosis and conventional clinical practice (image quality, equipment, measurement errors, age, gender, body build, subjective symptoms, and other clinical backgrounds).

—

Contacts

Public ContactKenya Kusunose

University of the Ryukyus

echo.cardio@gmail.com+81-98-894-1301

Outcome results