Actively Recruiting

All Genders
ID07424755

AI-Empowered Fundus Imaging: Intelligent Platform for Diagnosis, Treatment, and Early Warning of Fundus Diseases

Led by Shanghai 10th People's Hospital · Updated on 2026-02-20

1000

Participants Needed

1

Research Sites

39 weeks

Total Duration

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AI-Summary

What this Trial Is About

High myopia, a condition where the eye has a severe refractive error, is increasingly common worldwide and especially prevalent among students in urban China. This condition can lead to serious vision problems and complications such as cataracts, glaucoma, and macular degeneration. Pathological myopia, characterized by elongation of the eye and thinning of the retina, often results in posterior scleral staphyloma (PSS), which can severely affect vision and potentially cause blindness. Researchers are developing an intelligent multimodal screening system that combines advanced imaging technologies including the Optos non-mydriatic ultra-wide-angle laser scanning ophthalmoscope, B-scan ultrasonography, and optical coherence tomography (OCT). This system uses artificial intelligence to precisely identify and assess fundus diseases, focusing on pathological myopia and PSS. It also aims to create a vision prediction model to help doctors tailor diagnosis and treatment plans, predict vision decline, and improve early intervention. Participants will undergo comprehensive eye examinations using color fundus photography, B-scan ultrasound, and OCT imaging. Detailed baseline data including demographic information, health status, eye history, and ocular measurements will be collected. The study will gather data from October 2024 to April 2026, followed by AI modeling analysis from April to October 2026. This research supports improved prevention, diagnosis, and management of pathological myopia, and may enhance telemedicine services to reach remote populations.

CONDITIONS

Brief Title

AI-Empowered Fundus Platform

Who Can Participate

All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients diagnosed with cataract and high myopia with posterior staphyloma
  • Underwent comprehensive eye exams including ultra-widefield fundus photography, B-scan ultrasonography, and optical coherence tomography (OCT)
  • Complete documentation of baseline data including demographics, health status, ophthalmic history, and ocular biometric parameters
Not Eligible

You will not qualify if you...

  • Poor-quality images that affect identification of posterior scleral staphyloma
  • Severe coexisting eye diseases such as glaucoma or diabetic retinopathy causing media opacities
  • Severe systemic diseases that could interfere with study outcomes

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - From October 2024 to April 2026

Participants undergo comprehensive eye exams including fundus color photography, B-scan ultrasonography, and OCT imaging with detailed collection of baseline data.

Visits during consultation as needed for imaging and assessments

Long-term Monitoring

Duration - From April 2026 to October 2026

Participants' data are monitored and analyzed using AI modeling for diagnosis, treatment, and early warning of fundus diseases.

No additional visits; data analysis phase

Trial Site Locations

Total: 1 location

1

Shanghai 10th People's Hospital

Shanghai, China

Actively Recruiting

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Research Team

Y

yiwen Hu

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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