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NCT07022444

Research Based on IOLMaster700 Cataract Diagnosis and Classification System

Not yet recruiting Last updated 15 June 2025
What this trial tests

trial testing IOL-MASTER 700 in Cataract in 2,000 participants. Not yet recruiting.

Timeline
15 June 2025
Primary endpoint
31 August 2025
31 December 2025

Quick facts

Lead sponsorShanghai 10th People's Hospital
StatusNot yet recruiting
Study typeOBSERVATIONAL
Enrollment2,000
Start date15 June 2025
Primary completion31 August 2025
Estimated completion31 December 2025

Drugs / interventions tested

Conditions studied

Sponsor

Shanghai 10th People's Hospital

Who can join

40 and older, any sex, with Cataract or Artificial Intelligence (AI). Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Cataract is a major cause of blindness due to eye diseases. Methods for evaluating the degree of lens opacification in cataracts are divided into subjective and objective methods. The commonly used subjective method is the Lens Opacification Classification System (LOCS Ⅲ), while the objective methods mainly include the Dysfunctional Lens Index (DLI) of the Ray Tracing aberration analysis system, the PNS score of the Pentacam anterior segment analysis system, etc. Subjective diagnosis may lead to certain misjudgments, which have affected clinical diagnosis and treatment. There is an urgent need to add objective diagnostic measures to assist clinical work. The Scanning Source Optical Coherence Tomography (SS - OCT) biometer - IOL Master 700 forms an OCT imaging of the eye based on the swept - source optical coherence tomography (OCT) biometric technology. It can visually show the longitudinal section of the entire lens, and the clear display of the patient's lens tomographic OCT image is obtained through image visualization measurement. The main purpose of this study is to analyze the lens images obtained by the IOLmaster 700. Based on the current mainstream algorithm models such as ResNet - 34 and XGBoost, develop a heterogeneous accelerated artificial intelligence algorithm according to our research needs to accurately calculate the degree of lens opacification. And write image analysis software by ourselves to automatically calculate the required indicators and output them. Establish a heterogeneous accelerated artificial intelligence - assisted lens opacification grading and prediction system, supporting software for biometer equipment, and a cataract lens image database. The software provides online service functions, and all researchers can use the image analysis function of the software after logging in, truly realizing the sharing of large instrument supporting software operations. Thereby improving the accuracy and efficiency of clinical diagnosis and treatment, the prognostic prediction level of patients after cataract surgery, guiding clinical diagnosis and treatment more accurately, and at the same time, it can be used as a tool for community screening.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Cataract

Currently open trials in the same condition.

Other Shanghai 10th People's Hospital trials

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Data sources for this page

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