Study of artificial intelligence to diagnose rheumatoid arthritis
Not Applicable
- Conditions
- Rheumatoid arthritis
- Registration Number
- JPRN-UMIN000039371
- Lead Sponsor
- Hokkaido Medical Center for Rheumatic Diseases
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 249
Inclusion Criteria
Not provided
Exclusion Criteria
The study outline was published on the hospital's homepag 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.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method We semi-quantitatively converted several clinical information obtained from first visit in hospital to four color square images and arranged them as one image. Some modifications were added to clinical information in each patient to increase tuning data. These were used to fine-tune one of the pretrained CNNs, AlexNet. The fine-tuned AlexNet classified testing images that were independent of the tuning data.
- Secondary Outcome Measures
Name Time Method We compared the classification ability of the CNN and diagnosis of rheumatologists.