Using artificial intelligence to improve cataract surgery outcomes for patients with high myopia

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to develop a multi-center artificial intelligence model to enhance the accuracy of intraocular lens calculations for patients suffering from highly myopic cataracts. The research focuses on addressing the limitations of existing lens calculation formulas, which are primarily based on data from European and American populations, by utilizing data from the Asian population where high myopia is prevalent. By improving the predictive accuracy of postoperative diopter outcomes, the study seeks to reduce the risk of blindness associated with high myopia cataracts. The AI model will analyze various biometric indicators to provide more precise calculations tailored to this specific patient group.

Why it matters

Who can join: the full rules

Inclusion Criteria:

Axial length ≥ 26 mm and patients with high myopia complicated by cataracts who visit our hospital.

Preoperative anterior segment photography and cataract severity assessment, along with fundus OCT examination, have been performed.

If surgical treatment is conducted, the postoperative follow-up period should be no less than 1 month.

There are no missing clinical data before and after the surgery.

Exclusion Criteria:

Patients who are unable to cooperate with the required examinations for this study.

Where it's running

• Eye and ENT Hospital of Fudan University
  Shanghai, Shanghai Municipality, China Recruiting

Study contacts

• Study coordinator: Wenwen He
• Email: alicewen@139.com
• Phone: +86-15021154594

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.