Diagnostic assistant system for non-alcoholic steatohepatitis (NASH) with artificial intelligence (AI)

Diagnostic assistant system for non-alcoholic steatohepatitis (NASH) with artificial intelligence (AI) - Diagnostic assistant system for NASH with AI

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000031613

Enrollment

300

Registered

2018-03-08

Start date

2018-04-25

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

fatty liver

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Fatty liver diagnosis by ultrasonography (brightness, liver-kidney contrast, deep attenuation, vascular blurring, or focal spared area).

Exclusion criteria

Exclusion criteria: Patients who could not be performed abdominal ultrasonography.

Design outcomes

Primary

Measure	Time frame
Accuracy of ultrasonography for liver fibrosis based on pathology	—

Secondary

Measure	Time frame
Accuracy of ultrasonography for liver steatosis based on pathology	—

Countries

Japan

Contacts

Public ContactNaoki Matsumoto

Nihon University School of Medicine Division of Gastroenterology and Hepatology, Department of Medicine

matsumotosg@yahoo.co.jp03-3972-8111

Outcome results