Multimodal Machine Learning for Auxiliary Diagnosis of Eye Diseases

Eye & ENT Hospital of Fudan University

Status: Completed

Conditions: Eye Diseases

Treatments: Diagnostic Test: Multimodal Machine Learning Program for Auxiliary Diagnosis of Eye Diseases

Study type: Observational

Funder types: Other

Identifiers

NCT05930444

FD-EENT-20230625

Details and patient eligibility

About

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.

Enrollment: 9,825 patients

Sex: All

Ages: 2+ months old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

9,825 participants in 2 patient groups

Normal participants

Description:

Healthy individuals who have no concerns related to their eyes.

Patients with Eye-related Chief Complaints

Description:

Individuals who have specific concerns or issues related to their eyes, which they consider as the main reason for seeking medical attention or making a complaint.

Treatment:

Diagnostic Test: Multimodal Machine Learning Program for Auxiliary Diagnosis of Eye Diseases