Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver

Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver - Clinical Trial on Artificial Intelligence (AI) Assisted System for Diagnosis of Liver Lipidosis and Fibrosis in Patients with Non-Alcoholic Fatty Liver

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000054302

Enrollment

100

Registered

2024-05-01

Start date

2022-04-01

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

non-alcoholic fatty liver

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: (1) Patients with liver disease or hepatic dysfunction (2) Patients must be at least 20 years of age (regardless of gender). (3) Patients must have been fully informed of the study and must have given written consent of their own free will.

Exclusion criteria

Exclusion criteria: 1) Patients with tattoos or MRI-unsuitable metal in the body 2) Pregnant or lactating women, or patients who may be pregnant or intend to become pregnant (a pregnancy reaction test should be performed if pregnancy is suspected). 3) Patients with other conditions that may compromise patient safety in the conduct of the study or make it difficult to comply with the study protocol.

Design outcomes

Primary

Measure	Time frame
Abdominal ultrasound and MRI examinations are performed after consent forms are obtained. Abdominal ultrasound qualitatively and quantitatively evaluates the degree of liver fibrosis and lipidosis, while MRI quantifies and evaluates the amount of fat in the liver.	—

Countries

Japan

Contacts

Public ContactHidemi Unozawa

Chiba University Hospital gastroenterology

unozawa.hidemi@chiba-u.jp0432227171

Outcome results