Validation of a Universal Cataract Intelligence Platform

NCT ID: NCT03623971

Last Updated: 2018-08-09

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 500 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2013-01-01
• Study Completion Date: 2017-06-01

Brief Summary

This study established and validated a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multi-level clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficiency and resource coverage.The datasets were labeled using a three-step strategy: (1) categorize slit lamp photographs into four separate capture modes; (2) diagnose each photograph as a normal lens, cataract or a postoperative eye; and (3) based on etiology and severity, further classify each diagnosed photograph for a management strategy of referral or follow-up. A deep residual convolutional neural network (CS-ResCNN) was used for the image classification task. Moreover, we integrated the cataract AI agent with a real-world multi-level referral pattern involving self-monitoring at home, primary healthcare, and specialized hospital services.

Conditions

Cataract; Artificial Intelligence

Study Design

• Allocation Method: NA
• Intervention Model: SINGLE_GROUP
• Primary Study Purpose: DIAGNOSTIC
• Blinding Strategy: NONE

Study Groups

Artificial Intelligence

A universal diagnostic system. An artificial intelligence to make comprehensive evaluation and treatment decision of cataract.

Group Type: EXPERIMENTAL

Cataract AI agent

Intervention Type: DEVICE

An artificial intelligence to make comprehensive evaluation and treatment decision of different types of cataracts.

Interventions

Cataract AI agent

An artificial intelligence to make comprehensive evaluation and treatment decision of different types of cataracts.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

Patients who underwent ophthalmic examination of the eye and recorded their ocular information in the primary healthcare center.

Exclusion Criteria

The patients who cannot cooperate with the examinations.

• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Xidian University

OTHER

Sponsor Role: collaborator

Sun Yat-sen University

OTHER

Sponsor Role: lead

Responsible Party

Haotian Lin

Clinical Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Other Identifiers

CCPMOH2018- China7

Identifier Type: -

Identifier Source: org_study_id