Development of an AI-Generated Image Training Method for Ophthalmic Disease Diagnosis

Development of an Educational Method Based on Artificially Generated Images: Diagnosis of Corneal Diseases and Eyelid Tumor - AIGIDEM (Artificially Generated Image Diagnosis Education Method)

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000055679

Enrollment

Registered

2024-11-01

Start date

2023-06-20

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

Corneal Diseases,Eyelid Tumors

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: A total of 10 to 20 general ophthalmologists who do not specialize in corneal or eyelid conditions, as well as ophthalmology trainees. Additionally, 2 or more specialists in corneal diseases and eyelid tumors will be included as controls.

Exclusion criteria

Exclusion criteria: 1.Specialists: Corneal and eyelid specialists will be excluded from the training group. 2.Refusal of Participation: Participants who cannot provide informed consent for research participation will be excluded.

Design outcomes

Primary

Measure	Time frame
Overall Accuracy: Evaluate the change in overall accuracy of general ophthalmologists and trainees in diagnosing corneal diseases and eyelid tumors before and after the training, and compare the results with the accuracy of specialists.	—

Countries

Japan

Contacts

Public ContactTabuchi Hitoshi

Tsukazaki Hospital Ophthalmology

h.tabuchi@tsukazaki-eye.net079-272-8555

Outcome results