Artificial Intelligence for Highly Myopic Cataract (AI-HMC)

Shanghai High Myopia Study Group

Status: Enrolling

Conditions: Myopia; Cataract; Automatic Judgement; High Myopia; Diagnoses Disease; Risk Reduction

Treatments: Device: newly-invented AI model

Study type: Observational

Funder types: Other

Identifiers

NCT06616506

SYA202006 (Other Grant/Funding Number)

SHDC12019X08 (Other Grant/Funding Number)

NSFC-81970780

Details and patient eligibility

About

This study aims to establish a multi-center artificial intelligence model for the accurate calculation of intraocular lens and its clinical application in highly myopic cataract, so as to improve the accuracy of the prediction of postoperative diopter in highly myopic cataract patients.

Full description

High myopia cataract (HMC) is a complex cataract with high risk of blindness. At present, there are nearly 300 million people with high myopia in the world, which will increase to 500 million by 2020. Asia is the high incidence of myopia in the world. At present, there are more than 500 million people with myopia in China alone, of which nearly 100 million are high myopia, and this number is still growing rapidly. Correspondingly, the incidence rate of cataract with high myopia has also increased rapidly, which accounts for over 40% of cataract surgery.

In the early stage of the project team's analysis of refractive error after high myopia cataract surgery, it was found that the accuracy of intraocular lens calculation formula, which is widely recommended for high myopia cataract at present, is still worrying, because most of these formulas are based on the European and American eye data, while the European and American databases have few ultra high myopia data, which greatly affects the formula's accuracy In addition, the calculation of the existing formula needs to include multiple biometric indicators, and can be obtained based on complex algorithms. Artificial intelligence technology is exactly an effective means to solve this kind of problem. Therefore, based on the data of Asian population with high myopia and high incidence, the establishment of an intelligent model for the accurate calculation of high myopia cataract IOL will greatly improve the measurement accuracy Sex.

Therefore, the purpose of this study is to establish a multi-center artificial intelligence model for the accurate calculation of intraocular lens and its clinical application in highly myopic cataract, so as to improve the accuracy of the prediction of postoperative diopter in highly myopic cataract patients.

Enrollment: 500,000 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

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.

Trial design

500,000 participants in 4 patient groups

Highly myopic cataract patients without fundus defects

Description:

Highly myopic cataract patients with fundus defects

Treatment:

Device: newly-invented AI model

Highly myopic cataract patients with fundus defects

Treatment:

Device: newly-invented AI model

Highly myopic cataract patients with lens grading of NC2-3

Treatment:

Device: newly-invented AI model

Highly myopic cataract patients with lens grading of NC4-5

Treatment:

Device: newly-invented AI model