Study of artificial intelligence in rheumatoid arthritis

Study of artificial intelligence for classification of joint ultrasound images in rheumatoid arthritis - Study of convolutional neural network for joint ultrasound images in rheumatoid arthritis

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000054321

Enrollment

100

Registered

2024-07-05

Start date

2024-05-01

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

Rheumatoid arthritis

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients with rheumatoid arthritis who had joint ultrasonography examination in our hospital were enrolled.

Exclusion criteria

Exclusion criteria: The study outline was shown in the hospital's homepage and an opt-out management strategy was used to collect the patient information. Patients who did not hope to participate in were excluded. Patients judged by doctors to be inappropriate for the study were excluded.

Design outcomes

Primary

Measure	Time frame
We created artificial joint ultrasound images for CNN training. We studied classification performance of pre-trained CNNs with transfer learning by the artificial images.	—

Countries

Japan

Contacts

Public ContactJun Fukae

Kuriyama Red Cross Hospital Rheumatology

jun.fukae@ryumachi-jp.com81-123-72-1015

Outcome results