Artificial Intelligent System for Eye Emergency Triage and Primary Diagnosis

Launched by SUN YAT-SEN UNIVERSITY · Dec 25, 2022

Keywords

ClinConnect Summary

This clinical trial is studying a new artificial intelligence system called EE-Explorer, designed to help quickly assess and diagnose eye emergencies. Eye emergencies can threaten vision and require immediate attention, but sometimes patients are not seen as quickly as they should be due to the challenges in prioritizing care. This AI system aims to improve how eye emergencies are triaged—meaning it helps determine which patients need to be seen first—by analyzing patient information and images of the eye.

To be eligible for the trial, participants must have experienced sudden eye problems within the past month and be visiting an eye emergency department for the first time. They should be able to fill out a triage form and provide eye images either through their smartphone or during an exam at the clinic. As a participant, you can expect to use the simple online system to help assess your eye condition, which could lead to faster and more accurate treatment. The researchers are currently looking for participants of all ages and genders.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 1. Suffering acute ophthalmic symptoms within one month
• • 2. Visiting the ocular emergency department for the first time
• • 3. Must be able to complete the triage form for ophthalmic emergency
• • 4. Must be able to cooperate either by submitting smartphone photographs or receiving slit-lamp examination
• Exclusion Criteria:
• • The image quality does not meet the clinical requirements.