With rapid advancements in natural language processing and image processing, there is a growing potential for intelligent diagnosis utilizing chatGPT trained through high-quality ophthalmic consultation. Furthermore, by incorporating patient selfies, eye examination photos, and other image analysis techniques, the diagnostic capabilities can be further enhanced. The multi-center study aims to develop an auxiliary diagnostic program for eye diseases using multimodal machine learning techniques and evaluate its diagnostic efficacy in real-world outpatient clinics.

Inclusion Criteria:

• Informed consent obtained;
• Participants should be able to have Chinese as their mother tongue, and be sufficiently able to read, write and understand Chinese;
• For normal participants: individuals should have no concerns related to their eyes.
• For participants with eye-related chief complaints: individuals should have specific concerns or issues related to their eyes.

Exclusion Criteria:

• Incomplete clinical data to support final diagnosis;
• Patients who, in the opinion of the attending physician or clinical study staff, are too medically unstable to participate in the study safely.

The "normal participants" refers to individuals with no concerns or issues related to their eyes.

The "participants with eye-related chief complaints" refers to patients from various eye clinics across China. Each participant must undergo comprehensive medical tests and have their medical records reviewed for diagnosis.

The protocol has been published on 08 December 2023.