Artificial Intelligent System for Eye Emergency Triage and Primary Diagnosis

Emergencies Clinical Trial

Official title:

Prospective Validation of an Artificial Intelligent System for Eye Emergency Triage and Primary Diagnosis

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT05680090
• Other study ID #: 2021KYPJ046
• Status: Recruiting
• Start date: December 10, 2022
• Est. completion date: January 20, 2023

Study information

• Verified date: December 2022
• Source: Sun Yat-sen University
• Contact: Haotian Lin, M.D., Ph.D
• Phone: 8613802793086
• Email: haot.lin[@]hotmail.com
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Ophthalmic emergencies are acute vision-threatening disorders, for which a delay in prompt emergency response could result in catastrophic vision loss. Triage is an effective process for ensuring that timely emergency care is provided despite limited resource by prioritizing patients to appropriate orders for visits. Historically, registered nurses classify emergency patients based on personal experiences with high variation. Additionally, primary healthcare providers have been conventionally at the forefront of providing first aid care. However, most of ocular emergencies are wrongly diagnosed or referred due to non-eye specialists' limited knowledge and training in the ophthalmology.

Here, the investigators established and validated an artificial intelligence system, EE-Explorer, to triage eye emergencies and assist in primary diagnosis using metadata and ocular images. This system has been integrated into a website to be prospectively validated in the real world.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 100
• Est. completion date: January 20, 2023
• Est. primary completion date: January 13, 2023
• Accepts healthy volunteers: No
• Gender: All
• Age group: N/A and older

Eligibility

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.

Related Conditions & MeSH terms

• Emergencies
• Eye Diseases

Intervention

Diagnostic Test:
• Artificial intelligent system for eye emergency triage and primary diagnosis
An intelligent triage and diagnostic system for ophthalmic emergencies has been developed. In the prospective test, patients with acute ocular symptoms can achieve remote self-triage and primary diagnosis after uploading metadata and ocular images.

Locations

Country	Name	City	State
China	Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity	Guangzhou	Guangdong

Sponsors (1)

Lead Sponsor	Collaborator
Sun Yat-sen University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Acceptance of the patients	Questionnaire scores	2023.1
Primary	The accuracy of the triage model	Use the triage model to classify patients with acute ocular symptoms, and count the proportion of correct classification.	2023.1
Secondary	The accuracy of the primary diagnostic model	Use the primary diagnostic model to diagnose patients with ophthalmic emergencies, and count the proportion of correct diagnosis in all patients.	2023.1